doc_id
string
arxiv_id
string
title
string
text
string
url
string
doi
string
category
string
published
string
era
string
dendro_not_after
string
dendro_not_after_year
int64
dendro_human_origin_p
float64
dendro_ci_low
float64
dendro_ci_high
float64
dendro_abstained
bool
dendro_operators
int64
dendro_evidence_logodds
float64
dendro_flags
list
dendro_ancestor
null
dendro_explanation
string
low_background
bool
arxiv:1902.11019
1902.11019
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors Most previous works usually explained adversarial examples from several specific perspectives, lacking relatively integral comprehension about this problem. In this paper, we present a systematic study on adversarial...
https://arxiv.org/abs/1902.11019
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11021
1902.11021
Static Stability of Robotic Fabric Strip Folding
Static Stability of Robotic Fabric Strip Folding Planning accurate manipulation for deformable objects requires prediction of their state. The prediction is often complicated by a loss of stability that may result in collapse of the deformable object. In this work, stability of a fabric strip folding performed by a ro...
https://arxiv.org/abs/1902.11021
null
cs.RO
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11026
1902.11026
Towards Multi-pose Guided Virtual Try-on Network
Towards Multi-pose Guided Virtual Try-on Network Virtual try-on system under arbitrary human poses has huge application potential, yet raises quite a lot of challenges, e.g. self-occlusions, heavy misalignment among diverse poses, and diverse clothes textures. Existing methods aim at fitting new clothes into a person ...
https://arxiv.org/abs/1902.11026
null
cs.CV
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11028
1902.11028
A Valgrind Tool to Compute the Working Set of a Software Process
A Valgrind Tool to Compute the Working Set of a Software Process This paper introduces a new open-source tool for the dynamic analyzer Valgrind. The tool measures the amount of memory that is actively being used by a process at any given point in time. While there exist numerous tools to measure the memory requirement...
https://arxiv.org/abs/1902.11028
null
cs.PF
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11029
1902.11029
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN Deep neural networks have been widely deployed in various machine learning tasks. However, recent works have demonstrated that they are vulnerable to adversarial examples: carefully crafted small perturbations to cause misclassification by th...
https://arxiv.org/abs/1902.11029
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11035
1902.11035
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning Complex black-box predictive models may have high accuracy, but opacity causes problems like lack of trust, lack of stability, sensitivity to concept drift. On the other hand, interpretable models require more work related to feature engineering, which ...
https://arxiv.org/abs/1902.11035
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11047
1902.11047
Ratio-Balanced Maximum Flows
Ratio-Balanced Maximum Flows When a loan is approved for a person or company, the bank is subject to \emph{credit risk}; the risk that the lender defaults. To mitigate this risk, a bank will require some form of \emph{security}, which will be collected if the lender defaults. Accounts can be secured by several securit...
https://arxiv.org/abs/1902.11047
null
cs.DS
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11056
1902.11056
A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning
A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning Real-time motion planning is a vital function of robotic systems. Different from existing roadmap algorithms which first determine the free space and then determine the collision-free path, researchers recently proposed several convex relaxation based sm...
https://arxiv.org/abs/1902.11056
null
cs.RO
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11058
1902.11058
Representation Learning for Recommender Systems with Application to the Scientific Literature
Representation Learning for Recommender Systems with Application to the Scientific Literature The scientific literature is a large information network linking various actors (laboratories, companies, institutions, etc.). The vast amount of data generated by this network constitutes a dynamic heterogeneous attributed n...
https://arxiv.org/abs/1902.11058
10.1145/3308560.3314195
cs.CL
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11060
1902.11060
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions This paper presents our latest investigations on dialog act (DA) classification on automatically generated transcriptions. We propose a novel approach that combines convolutional neural networks (CNNs) and conditional random...
https://arxiv.org/abs/1902.11060
null
cs.CL
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11074
1902.11074
AFS: An Attention-based mechanism for Supervised Feature Selection
AFS: An Attention-based mechanism for Supervised Feature Selection As an effective data preprocessing step, feature selection has shown its effectiveness to prepare high-dimensional data for many machine learning tasks. The proliferation of high di-mension and huge volume big data, however, has brought major challenge...
https://arxiv.org/abs/1902.11074
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11088
1902.11088
Scaling Matters in Deep Structured-Prediction Models
Scaling Matters in Deep Structured-Prediction Models Deep structured-prediction energy-based models combine the expressive power of learned representations and the ability of embedding knowledge about the task at hand into the system. A common way to learn parameters of such models consists in a multistage procedure w...
https://arxiv.org/abs/1902.11088
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11091
1902.11091
Massive Open Online Courses and Cloud Computing
Massive Open Online Courses and Cloud Computing One of the most important areas of todays computer technology is Cloud Computing. Benefits of Cloud Computing in various areas cannot be ignored. One field affected by the opportunities provided by Cloud Computing is education. MOOC emerged as a result of opportunities i...
https://arxiv.org/abs/1902.11091
null
cs.CY
2019-02-27T00:00:00+00:00
pre2021
2019-02-27
2,019
0.993889
0.849445
0.996258
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-27, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11095
1902.11095
Big Data for Traffic Monitoring and Management
Big Data for Traffic Monitoring and Management The last two decades witnessed tremendous advances in the Information and Communications Technologies. Beside improvements in computational power and storage capacity, communication networks carry nowadays an amount of data which was not envisaged only few years ago. Toge...
https://arxiv.org/abs/1902.11095
null
cs.NI
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11097
1902.11097
Predictive Inequity in Object Detection
Predictive Inequity in Object Detection In this work, we investigate whether state-of-the-art object detection systems have equitable predictive performance on pedestrians with different skin tones. This work is motivated by many recent examples of ML and vision systems displaying higher error rates for certain demogr...
https://arxiv.org/abs/1902.11097
null
cs.CV
2019-02-21T00:00:00+00:00
pre2021
2019-02-21
2,019
0.99392
0.849495
0.996265
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-21, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11100
1902.11100
Usage of analytic hierarchy process for steganographic inserts detection in images
Usage of analytic hierarchy process for steganographic inserts detection in images This article presents the method of steganography detection, which is formed by replacing the least significant bit (LSB). Detection is performed by dividing the image into layers and making an analysis of zero-layer of adjacent bits fo...
https://arxiv.org/abs/1902.11100
null
cs.MM
2018-12-25T00:00:00+00:00
pre2021
2018-12-25
2,018
0.994192
0.849926
0.99632
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-12-25, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11105
1902.11105
Quantum walk inspired algorithm for graph similarity and isomorphism
Quantum walk inspired algorithm for graph similarity and isomorphism Large scale complex systems, such as social networks, electrical power grid, database structure, consumption pattern or brain connectivity, are often modeled using network graphs. Valuable insight can be gained by measuring the similarity between net...
https://arxiv.org/abs/1902.11105
null
quant-ph
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11109
1902.11109
Actions Generation from Captions
Actions Generation from Captions Sequence transduction models have been widely explored in many natural language processing tasks. However, the target sequence usually consists of discrete tokens which represent word indices in a given vocabulary. We barely see the case where target sequence is composed of continuous ...
https://arxiv.org/abs/1902.11109
null
cs.CV
2019-02-14T00:00:00+00:00
pre2021
2019-02-14
2,019
0.993956
0.849552
0.996272
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11111
1902.11111
Target-based Hyperspectral Demixing via Generalized Robust PCA
Target-based Hyperspectral Demixing via Generalized Robust PCA Localizing targets of interest in a given hyperspectral (HS) image has applications ranging from remote sensing to surveillance. This task of target detection leverages the fact that each material/object possesses its own characteristic spectral response, ...
https://arxiv.org/abs/1902.11111
10.1109/ACSSC.2017.8335372
cs.CV
2019-02-26T00:00:00+00:00
pre2021
2019-02-26
2,019
0.993894
0.849453
0.996259
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-26, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11112
1902.11112
Toward computing sensitivities of average quantities in turbulent flows
Toward computing sensitivities of average quantities in turbulent flows Chaotic dynamical systems such as turbulent flows are characterized by an exponential divergence of infinitesimal perturbations to initial conditions. Therefore, conventional adjoint/tangent sensitivity analysis methods that are successful with RA...
https://arxiv.org/abs/1902.11112
null
cs.CE
2019-02-06T00:00:00+00:00
pre2021
2019-02-06
2,019
0.993996
0.849615
0.99628
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-06, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11116
1902.11116
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability Wikipedia is playing an increasingly central role on the web,and the policies its contributors follow when sourcing and fact-checking content affect million of readers. Among these core guiding principles, verifiability policies have a...
https://arxiv.org/abs/1902.11116
null
cs.CY
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11117
1902.11117
Optimal Resource Allocation for Joint Sensing and Communication: Multiple Targets and Clutters
Optimal Resource Allocation for Joint Sensing and Communication: Multiple Targets and Clutters We study a contactless target probing based on stimulation by a radio frequency (RF) signal. The transmit signal is dispatched from a transmitter equipped with a two-dimensional antenna array. Then, the reflected signal from...
https://arxiv.org/abs/1902.11117
null
cs.IT
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11118
1902.11118
Spatio-Temporal Waveform Design in Active Sensing Systems with Multilayer Targets
Spatio-Temporal Waveform Design in Active Sensing Systems with Multilayer Targets In this paper, we study the optimal spatio-temporal waveform design for active sensing applications. For this purpose a multi-antenna radar is exploited. The targets in the radar vision are naturally composed of multiple layers of differ...
https://arxiv.org/abs/1902.11118
null
cs.IT
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11121
1902.11121
CMR motion artifact correction using generative adversarial nets
CMR motion artifact correction using generative adversarial nets Cardiovascular Magnetic Resonance (CMR) plays an important role in the diagnoses and treatment of cardiovascular diseases while motion artifacts which are formed during the scanning process of CMR seriously affects doctors to find the exact focus. The cu...
https://arxiv.org/abs/1902.11121
null
cs.CV
2019-02-21T00:00:00+00:00
pre2021
2019-02-21
2,019
0.99392
0.849495
0.996265
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-21, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11128
1902.11128
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning The computational demands of computer vision tasks based on state-of-the-art Convolutional Neural Network (CNN) image classification far exceed the energy budgets of mobile devices. This paper proposes FixyNN, which consists of a fixed-weight ...
https://arxiv.org/abs/1902.11128
null
cs.CV
2019-02-27T00:00:00+00:00
pre2021
2019-02-27
2,019
0.993889
0.849445
0.996258
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-27, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11130
1902.11130
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle The present work deals with a new passive system for real-time detection, classification and direction of arrival estimator of Unmanned Aerial Vehicles (UAVs). The proposed system composed of a very low cost hardware components, comprise...
https://arxiv.org/abs/1902.11130
null
eess.AS
2019-02-27T00:00:00+00:00
pre2021
2019-02-27
2,019
0.993889
0.849445
0.996258
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-27, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11133
1902.11133
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network
Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network In this paper, we propose a solution which uses state-of-the-art techniques in Deep Learning to tackle the problem of Bengali Handwritten Character Recognition ( HCR ). Our method uses lesser iterations to train t...
https://arxiv.org/abs/1902.11133
null
cs.CV
2019-02-25T00:00:00+00:00
pre2021
2019-02-25
2,019
0.993899
0.849462
0.99626
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-25, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11134
1902.11134
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Disentangled Deep Autoencoding Regularization for Robust Image Classification In spite of achieving revolutionary successes in machine learning, deep convolutional neural networks have been recently found to be vulnerable to adversarial attacks and difficult to generalize to novel test images with reasonably large geo...
https://arxiv.org/abs/1902.11134
null
cs.CV
2019-02-27T00:00:00+00:00
pre2021
2019-02-27
2,019
0.993889
0.849445
0.996258
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-27, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11159
1902.11159
Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm
Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm Although showing competitive performances in many real-world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor control on exploration and exploitation. Ad...
https://arxiv.org/abs/1902.11159
null
cs.SE
2019-02-13T00:00:00+00:00
pre2021
2019-02-13
2,019
0.993961
0.84956
0.996273
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11167
1902.11167
Enhanced Security of Symmetric Encryption Using Combination of Steganography with Visual Cryptography
Enhanced Security of Symmetric Encryption Using Combination of Steganography with Visual Cryptography Data security is required when communications over untrusted networks takes place. Security tools such as cryptography and steganography are applied to achieve such objectives, but both have limitations and susceptibl...
https://arxiv.org/abs/1902.11167
10.14445/22315381/IJETT-V65P227
cs.CR
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11169
1902.11169
Dynamic Planar Convex Hull
Dynamic Planar Convex Hull In this article, we determine the amortized computational complexity of the planar dynamic convex hull problem by querying. We present a data structure that maintains a set of n points in the plane under the insertion and deletion of points in amortized O(log n) time per operation. The space...
https://arxiv.org/abs/1902.11169
null
cs.CG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11179
1902.11179
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks This paper proposes a holistic multi-task Convolutional Neural Networks (CNNs) with the dynamic weights of the tasks,namely FaceLiveNet+, for face authentication. FaceLiveNet+ can employ face verificatio...
https://arxiv.org/abs/1902.11179
null
cs.CV
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11184
1902.11184
Towards an Interoperable Identity Management Framework: a Comparative Study
Towards an Interoperable Identity Management Framework: a Comparative Study The development of services and the growing demand for resources sharing among users from different organizations with some level of affinity have motivated the creation of Identity Management Systems. Identity Management has gained significan...
https://arxiv.org/abs/1902.11184
null
cs.CR
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11187
1902.11187
Analysis of non-stationary multicomponent signals with a focus on the Compressive Sensing approach
Analysis of non-stationary multicomponent signals with a focus on the Compressive Sensing approach The characterization of multicomponent signals with a particular emphasis on musical and communication signals is one of the problems studied in the dissertation. In order to provide an efficient analysis of the multicom...
https://arxiv.org/abs/1902.11187
null
eess.SP
2019-01-15T00:00:00+00:00
pre2021
2019-01-15
2,019
0.9941
0.84978
0.996301
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-01-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11197
1902.11197
Como Mensurar a Importância, Influência e a Relevância de Usuários do Twitter? Uma análise da interação dos candidatos à presidência do Brasil nas eleições de 2018
Como Mensurar a Importância, Influência e a Relevância de Usuários do Twitter? Uma análise da interação dos candidatos à presidência do Brasil nas eleições de 2018 In the contemporary world, a significant number of people use social networking services for a variety of purposes, including, but not limited to...
https://arxiv.org/abs/1902.11197
null
cs.DL
2019-02-21T00:00:00+00:00
pre2021
2019-02-21
2,019
0.99392
0.849495
0.996265
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-21, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11199
1902.11199
Active Exploration in Markov Decision Processes
Active Exploration in Markov Decision Processes We introduce the active exploration problem in Markov decision processes (MDPs). Each state of the MDP is characterized by a random value and the learner should gather samples to estimate the mean value of each state as accurately as possible. Similarly to active explora...
https://arxiv.org/abs/1902.11199
null
stat.ML
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11212
1902.11212
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents Real-time bidding, as one of the most popular mechanisms for selling online ad slots, facilitates advertisers to reach their potential customers. The goal of bidding optimization is to maximize the advertisers' retu...
https://arxiv.org/abs/1902.11212
null
cs.GT
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11216
1902.11216
B-Script: Transcript-based B-roll Video Editing with Recommendations
B-Script: Transcript-based B-roll Video Editing with Recommendations In video production, inserting B-roll is a widely used technique to enrich the story and make a video more engaging. However, determining the right content and positions of B-roll and actually inserting it within the main footage can be challenging, ...
https://arxiv.org/abs/1902.11216
10.1145/3290605.3300311
cs.HC
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11231
1902.11231
Multiplexing Gain Region of Sectorized Cellular Networks with Mixed Delay Constraints
Multiplexing Gain Region of Sectorized Cellular Networks with Mixed Delay Constraints The sectorized hexagonal model with mixed delay constraints is considered when both neighbouring mobile users and base stations can cooperate over rate-limited links. Each message is a combination of independent "fast" and "slow" bit...
https://arxiv.org/abs/1902.11231
null
cs.IT
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11237
1902.11237
A new Backdoor Attack in CNNs by training set corruption without label poisoning
A new Backdoor Attack in CNNs by training set corruption without label poisoning Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possibility of corrupting the training set so to induce an incorrect behaviour at test time. To avoid that the trainer recognises the presence ...
https://arxiv.org/abs/1902.11237
null
cs.CR
2019-02-12T00:00:00+00:00
pre2021
2019-02-12
2,019
0.993966
0.849568
0.996274
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11245
1902.11245
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis Previous work on emotion recognition demonstrated a synergistic effect of combining several modalities such as auditory, visual, and transcribed text to estimate the affective state of a speaker. Among these, the linguistic modality is crucial f...
https://arxiv.org/abs/1902.11245
null
cs.CL
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11247
1902.11247
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning
Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning Tapping is an immensely important gesture in mobile touchscreen interfaces, yet people still frequently are required to learn which elements are tappable through trial and error. Predicting human behavior for this everyday gesture can help mob...
https://arxiv.org/abs/1902.11247
null
cs.HC
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11263
1902.11263
Sequentiality of String-to-Context Transducers
Sequentiality of String-to-Context Transducers Transducers extend finite state automata with outputs, and describe transformations from strings to strings. Sequential transducers, which have a deterministic behaviour regarding their input, are of particular interest. However, unlike finite-state automata, not every tr...
https://arxiv.org/abs/1902.11263
null
cs.LO
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11266
1902.11266
Efficient Parameter-free Clustering Using First Neighbor Relations
Efficient Parameter-free Clustering Using First Neighbor Relations We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neighbor of each sample is all one needs to discover large chains and finding...
https://arxiv.org/abs/1902.11266
null
cs.CV
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11268
1902.11268
CircConv: A Structured Convolution with Low Complexity
CircConv: A Structured Convolution with Low Complexity Deep neural networks (DNNs), especially deep convolutional neural networks (CNNs), have emerged as the powerful technique in various machine learning applications. However, the large model sizes of DNNs yield high demands on computation resource and weight storage...
https://arxiv.org/abs/1902.11268
null
cs.CV
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11269
1902.11269
Efficient Contextual Representation Learning Without Softmax Layer
Efficient Contextual Representation Learning Without Softmax Layer Contextual representation models have achieved great success in improving various downstream tasks. However, these language-model-based encoders are difficult to train due to the large parameter sizes and high computational complexity. By carefully exa...
https://arxiv.org/abs/1902.11269
null
cs.CL
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1902.11280
1902.11280
From Visual to Acoustic Question Answering
From Visual to Acoustic Question Answering We introduce the new task of Acoustic Question Answering (AQA) to promote research in acoustic reasoning. The AQA task consists of analyzing an acoustic scene composed by a combination of elementary sounds and answering questions that relate the position and properties of the...
https://arxiv.org/abs/1902.11280
null
cs.LG
2019-02-28T00:00:00+00:00
pre2021
2019-02-28
2,019
0.993883
0.849436
0.996257
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-02-28, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1412.1042
1412.1042
A CSP implementation of the bigraph embedding problem
A CSP implementation of the bigraph embedding problem A crucial problem for many results and tools about bigraphs and bigraphical reactive systems is bigraph embedding. An embedding is more informative than a bigraph matching, since it keeps track of the correspondence between the various components of the redex (gues...
https://arxiv.org/abs/1412.1042
null
cs.LO
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1708.04773
1708.04773
Thickness and Antithickness of Graphs
Thickness and Antithickness of Graphs This paper studies questions about duality between crossings and non-crossings in graph drawings via the notions of thickness and antithickness. The "thickness" of a graph $G$ is the minimum integer $k$ such that in some drawing of $G$, the edges can be partitioned into $k$ noncro...
https://arxiv.org/abs/1708.04773
10.20382/jocg.v9i1a12
math.CO
2018-09-13T00:00:00+00:00
pre2021
2018-09-13
2,018
0.994552
0.850499
0.996393
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-09-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1710.10016
1710.10016
Regularization via Mass Transportation
Regularization via Mass Transportation The goal of regression and classification methods in supervised learning is to minimize the empirical risk, that is, the expectation of some loss function quantifying the prediction error under the empirical distribution. When facing scarce training data, overfitting is typically...
https://arxiv.org/abs/1710.10016
null
math.OC
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1802.08209
1802.08209
Touch Sensors with Overlapping Signals: Concept Investigation on Planar Sensors with Resistive or Optical Transduction
Touch Sensors with Overlapping Signals: Concept Investigation on Planar Sensors with Resistive or Optical Transduction Traditional methods for achieving high localization accuracy on tactile sensors usually involve a matrix of miniaturized individual sensors distributed on the area of interest. This approach usually c...
https://arxiv.org/abs/1802.08209
null
cs.RO
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1805.10354
1805.10354
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling Learning a set of tasks over time, also known as continual learning (CL), is one of the most challenging problems in artificial intelligence. While recent approaches achieve some degree of CL in deep neural networks, they either (1) grow the network parameters li...
https://arxiv.org/abs/1805.10354
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1808.03344
1808.03344
Deep Learning for Single Image Super-Resolution: A Brief Review
Deep Learning for Single Image Super-Resolution: A Brief Review Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions. To solve the SISR problem, recently powerful deep learning algorithms hav...
https://arxiv.org/abs/1808.03344
10.1109/TMM.2019.2919431
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1809.07016
1809.07016
Generating 3D Adversarial Point Clouds
Generating 3D Adversarial Point Clouds Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examples for 2D images and CNNs have been extensively studied, less attention has been paid to 3D data su...
https://arxiv.org/abs/1809.07016
null
cs.CR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1809.07267
1809.07267
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models
LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models This paper describes LFRic: the new weather and climate modelling system being developed by the UK Met Office to replace the existing Unified Model in preparation for exascale computing in the 2020s. LFRic uses the G...
https://arxiv.org/abs/1809.07267
10.1016/j.jpdc.2019.02.007
cs.DC
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1812.01729
1812.01729
Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning
Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning Computing equilibrium states in condensed-matter many-body systems, such as solvated proteins, is a long-standing challenge. Lacking methods for generating statistically independent equilibrium samples in "one shot", vast compu...
https://arxiv.org/abs/1812.01729
null
stat.ML
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1901.04149
1901.04149
On the Performance and Optimization for MEC Networks Using Uplink NOMA
On the Performance and Optimization for MEC Networks Using Uplink NOMA In this paper, we investigate a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) network, in which two users may partially offload their respective tasks to a single MEC server through uplink NOMA. We propose a new offloading...
https://arxiv.org/abs/1901.04149
10.1109/ICCW.2019.8756980
cs.IT
2019-03-15T00:00:00+00:00
pre2021
2019-03-15
2,019
0.993801
0.849306
0.99624
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-03-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1901.04345
1901.04345
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study Learning the undirected graph structure of a Markov network from data is a problem that has received a lot of attention during the last few decades. As a result of the general applicability of the model class, a myria...
https://arxiv.org/abs/1901.04345
10.1016/j.csda.2019.06.012
stat.CO
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1902.07040
1902.07040
Travelling on Graphs with Small Highway Dimension
Travelling on Graphs with Small Highway Dimension We study the Travelling Salesperson (TSP) and the Steiner Tree problem (STP) in graphs of low highway dimension. This graph parameter was introduced by Abraham et al. [SODA 2010] as a model for transportation networks, on which TSP and STP naturally occur for various a...
https://arxiv.org/abs/1902.07040
null
cs.DS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1903.01804
1903.01804
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network Indoor localization is one of the crucial enablers for deployment of service robots. Although several successful techniques for indoor localization have been proposed, the majority of them relies on maps generated from data gathered with the...
https://arxiv.org/abs/1903.01804
null
cs.RO
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1903.06603
1903.06603
On Certifying Non-uniform Bound against Adversarial Attacks
On Certifying Non-uniform Bound against Adversarial Attacks This work studies the robustness certification problem of neural network models, which aims to find certified adversary-free regions as large as possible around data points. In contrast to the existing approaches that seek regions bounded uniformly along all ...
https://arxiv.org/abs/1903.06603
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1904.05948
1904.05948
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
Variational AutoEncoder For Regression: Application to Brain Aging Analysis While unsupervised variational autoencoders (VAE) have become a powerful tool in neuroimage analysis, their application to supervised learning is under-explored. We aim to close this gap by proposing a unified probabilistic model for learning ...
https://arxiv.org/abs/1904.05948
null
cs.LG
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1904.09974
1904.09974
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy. Fluorescence microscopy image volumes inherently suffer from intensity inhomogeneity, blur...
https://arxiv.org/abs/1904.09974
10.1109/ISBI.2019.8759250
cs.CV
2019-04-19T00:00:00+00:00
pre2021
2019-04-19
2,019
0.99359
0.848972
0.996197
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-04-19, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1904.10869
1904.10869
Variational approach to unsupervised learning
Variational approach to unsupervised learning Deep belief networks are used extensively for unsupervised stochastic learning on large datasets. Compared to other deep learning approaches their layer-by-layer learning makes them highly scalable. Unfortunately, the principles by which they achieve efficient learning are...
https://arxiv.org/abs/1904.10869
10.1088/2399-6528/ab3029
cond-mat.dis-nn
2019-04-24T00:00:00+00:00
pre2021
2019-04-24
2,019
0.993558
0.848921
0.99619
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-04-24, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1905.01026
1905.01026
HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems
HRC-SoS: Human Robot Collaboration Experimentation Platform as System of Systems This paper presents an experimentation platform for human robot collaboration as a system of systems as well as proposes a conceptual framework describing the aspects of Human Robot Collaboration. These aspects are Awareness, Intelligence...
https://arxiv.org/abs/1905.01026
10.1109/SYSOSE.2019.8753881
cs.RO
2019-05-03T00:00:00+00:00
pre2021
2019-05-03
2,019
0.993498
0.848827
0.996178
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-05-03, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1905.10070
1905.10070
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set. It is a challenging problem especially for the tail labels because there are ...
https://arxiv.org/abs/1905.10070
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1905.10698
1905.10698
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization Transferring knowledge from one neural network to another has been shown to be helpful for learning tasks with few training examples. Prevailing fine-tuning methods could potentially contaminate pre-trained features by comparably high energy random noi...
https://arxiv.org/abs/1905.10698
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1905.10818
1905.10818
Avoiding Scalability Collapse by Restricting Concurrency
Avoiding Scalability Collapse by Restricting Concurrency Saturated locks often degrade the performance of a multithreaded application, leading to a so-called scalability collapse problem. This problem arises when a growing number of threads circulating through a saturated lock causes the overall application performanc...
https://arxiv.org/abs/1905.10818
null
cs.OS
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1906.06634
1906.06634
On stabilizer-free weak Galerkin finite element methods on polytopal meshes
On stabilizer-free weak Galerkin finite element methods on polytopal meshes A stabilizing/penalty term is often used in finite element methods with discontinuous approximations to enforce connection of discontinuous functions across element boundaries. Removing stabilizers from discontinuous finite element methods wil...
https://arxiv.org/abs/1906.06634
null
math.NA
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1906.09665
1906.09665
Compositionally-Warped Gaussian Processes
Compositionally-Warped Gaussian Processes The Gaussian process (GP) is a nonparametric prior distribution over functions indexed by time, space, or other high-dimensional index set. The GP is a flexible model yet its limitation is given by its very nature: it can only model Gaussian marginal distributions. To model no...
https://arxiv.org/abs/1906.09665
10.1016/j.neunet.2019.06.012
stat.ML
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1906.11915
1906.11915
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic Low-power potential of mixed-signal design makes it an alluring option to accelerate Deep Neural Networks (DNNs). However, mixed-signal circuitry suffers from limited range for information encoding, susceptib...
https://arxiv.org/abs/1906.11915
null
cs.AR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1906.12204
1906.12204
Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling
Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling The generalized version of modularity for multilayer networks, a.k.a. multislice modularity, is characterized by two model parameters, namely resolution factor and inter-layer coupling factor. The former corre...
https://arxiv.org/abs/1906.12204
10.1109/TNSE.2019.2913325
cs.SI
2019-06-27T00:00:00+00:00
pre2021
2019-06-27
2,019
0.993087
0.848177
0.996092
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-06-27, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.01661
1907.01661
Graph Neural Network for Interpreting Task-fMRI Biomarkers
Graph Neural Network for Interpreting Task-fMRI Biomarkers Finding the biomarkers associated with ASD is helpful for understanding the underlying roots of the disorder and can lead to earlier diagnosis and more targeted treatment. A promising approach to identify biomarkers is using Graph Neural Networks (GNNs), which...
https://arxiv.org/abs/1907.01661
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.01957
1907.01957
End-to-End Speech Recognition with High-Frame-Rate Features Extraction
End-to-End Speech Recognition with High-Frame-Rate Features Extraction State-of-the-art end-to-end automatic speech recognition (ASR) extracts acoustic features from input speech signal every 10 ms which corresponds to a frame rate of 100 frames/second. In this report, we investigate the use of high-frame-rate feature...
https://arxiv.org/abs/1907.01957
null
eess.AS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.03263
1907.03263
Ensuring Responsible Outcomes from Technology
Ensuring Responsible Outcomes from Technology We attempt to make two arguments in this essay. First, through a case study of a mobile phone based voice-media service we have been running in rural central India for more than six years, we describe several implementation complexities we had to navigate towards realizing...
https://arxiv.org/abs/1907.03263
null
cs.CY
2019-07-07T00:00:00+00:00
pre2021
2019-07-07
2,019
0.993003
0.848044
0.996075
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-07, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.03644
1907.03644
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases Dataset bias is a well-known problem in the field of computer vision. The presence of implicit bias in any image collection hinders a model trained and validated on a particular dataset to yield similar accuracies when tested on other datasets. In this...
https://arxiv.org/abs/1907.03644
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.04096
1907.04096
Efficient Pose Selection for Interactive Camera Calibration
Efficient Pose Selection for Interactive Camera Calibration The choice of poses for camera calibration with planar patterns is only rarely considered - yet the calibration precision heavily depends on it. This work presents a pose selection method that finds a compact and robust set of calibration poses and is suitabl...
https://arxiv.org/abs/1907.04096
10.1109/ISMAR.2018.00026
cs.CV
2019-07-09T00:00:00+00:00
pre2021
2019-07-09
2,019
0.992986
0.848017
0.996071
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-09, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.04124
1907.04124
3D pavement surface reconstruction using an RGB-D sensor
3D pavement surface reconstruction using an RGB-D sensor A core procedure of pavement management systems is data collection. The modern technologies which are used for this purpose, such as point-based lasers and laser scanners, are too expensive to purchase, operate, and maintain. Thus, it is rarely feasible for city...
https://arxiv.org/abs/1907.04124
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.04420
1907.04420
Sublinear data structures for short Fréchet queries
Sublinear data structures for short Fréchet queries We study metric data structures for curves in doubling spaces, such as trajectories of moving objects in Euclidean $\mathbb{R}^d$, where the distance between two curves is measured using the discrete Fréchet distance. We design data structures in an \emph{asymmetri...
https://arxiv.org/abs/1907.04420
null
cs.CG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.04799
1907.04799
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies This paper addresses two challenges facing sampling-based kinodynamic motion planning: a way to identify good candidate states for local transitions and the subsequent computationally intractable steering between these candidate ...
https://arxiv.org/abs/1907.04799
null
cs.RO
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05083
1907.05083
Cake Cutting on Graphs: A Discrete and Bounded Proportional Protocol
Cake Cutting on Graphs: A Discrete and Bounded Proportional Protocol The classical cake cutting problem studies how to find fair allocations of a heterogeneous and divisible resource among multiple agents. Two of the most commonly studied fairness concepts in cake cutting are proportionality and envy-freeness. It is w...
https://arxiv.org/abs/1907.05083
null
cs.DS
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05273
1907.05273
Accurate Congenital Heart Disease Model Generation for 3D Printing
Accurate Congenital Heart Disease Model Generation for 3D Printing 3D printing has been widely adopted for clinical decision making and interventional planning of Congenital heart disease (CHD), while whole heart and great vessel segmentation is the most significant but time-consuming step in the model generation for ...
https://arxiv.org/abs/1907.05273
null
eess.IV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05420
1907.05420
Structure Exploiting Interior Point Methods
Structure Exploiting Interior Point Methods Interior point methods are among the most popular techniques for large scale nonlinear optimization, owing to their intrinsic ability of scaling to arbitrary large problem sizes. Their efficiency has attracted in recent years a lot of attention due to increasing demand for l...
https://arxiv.org/abs/1907.05420
null
math.OC
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05442
1907.05442
Predicting engagement in online social networks: Challenges and opportunities
Predicting engagement in online social networks: Challenges and opportunities Since the introduction of social media, user participation or engagement has received little research attention. In this survey article, we establish the notion of participation in social media and main challenges that researchers may face w...
https://arxiv.org/abs/1907.05442
null
cs.SI
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05443
1907.05443
Learning Key-Value Store Design
Learning Key-Value Store Design We introduce the concept of design continuums for the data layout of key-value stores. A design continuum unifies major distinct data structure designs under the same model. The critical insight and potential long-term impact is that such unifying models 1) render what we consider up to...
https://arxiv.org/abs/1907.05443
null
cs.DB
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05447
1907.05447
Grounding Value Alignment with Ethical Principles
Grounding Value Alignment with Ethical Principles An important step in the development of value alignment (VA) systems in AI is understanding how values can interrelate with facts. Designers of future VA systems will need to utilize a hybrid approach in which ethical reasoning and empirical observation interrelate suc...
https://arxiv.org/abs/1907.05447
null
cs.AI
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05454
1907.05454
Data by Proxy -- Material Traces as Autographic Visualizations
Data by Proxy -- Material Traces as Autographic Visualizations Information visualization limits itself, per definition, to the domain of symbolic information. This paper discusses arguments why the field should also consider forms of data that are not symbolically encoded, including physical traces and material indica...
https://arxiv.org/abs/1907.05454
null
cs.HC
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05458
1907.05458
Scalable Panel Fusion Using Distributed Min Cost Flow
Scalable Panel Fusion Using Distributed Min Cost Flow Modern audience measurement requires combining observations from disparate panel datasets. Connecting and relating such panel datasets is a process termed panel fusion. This paper formalizes the panel fusion problem and presents a novel approach to solve it. We cas...
https://arxiv.org/abs/1907.05458
null
stat.AP
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05464
1907.05464
Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture
Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture We propose an integrated control architecture to address the gap that currently exists for efficient real-time implementation of MPC-based control approaches for highly nonlinear systems with fast dynamics and a large number of co...
https://arxiv.org/abs/1907.05464
null
eess.SY
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05469
1907.05469
Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes
Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes In this paper, we consider a new large-scale communication scheme where randomly distributed AmBC nodes are involved as secondary users to primary transmitter (PT) and primary receiver (PR) pairs. The secondary communication between a backscatter ...
https://arxiv.org/abs/1907.05469
null
cs.IT
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05478
1907.05478
An $L^2_T$-error bound for time-limited balanced truncation
An $L^2_T$-error bound for time-limited balanced truncation Model order reduction (MOR) is often applied to spatially-discretized partial differential equations to reduce their order and hence decrease computational complexity. A reduced system can be obtained, e.g., by time-limited balanced truncation, a method that ...
https://arxiv.org/abs/1907.05478
null
math.OC
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05481
1907.05481
On Relevant Equilibria in Reachability Games
On Relevant Equilibria in Reachability Games We study multiplayer reachability games played on a finite directed graph equipped with target sets, one for each player. In those reachability games, it is known that there always exists a Nash equilibrium (NE) and a subgame perfect equilibrium (SPE). But sometimes several...
https://arxiv.org/abs/1907.05481
null
cs.GT
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05484
1907.05484
Generalized Mutual Information
Generalized Mutual Information Mutual information is one of the essential building blocks of information theory. Yet, it is only finitely defined for distributions with fast decaying tails on a countable joint alphabet of two random elements. The unboundedness of mutual information over the general class of all distri...
https://arxiv.org/abs/1907.05484
null
cs.IT
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05494
1907.05494
Entropy Estimation of Physically Unclonable Functions via Chow Parameters
Entropy Estimation of Physically Unclonable Functions via Chow Parameters A physically unclonable function (PUF) is an electronic circuit that produces an intrinsic identifier in response to a challenge. These identifiers depend on uncontrollable variations of the manufacturing process, which make them hard to predict...
https://arxiv.org/abs/1907.05494
null
cs.IT
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05496
1907.05496
Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits
Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits Warfarin is one of the most commonly used oral blood anticoagulant agent in the world, the proper dose of Warfarin is difficult to establish not only because it is substantially variant among patients, but also adverse even severe consequences of...
https://arxiv.org/abs/1907.05496
null
cs.LG
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05501
1907.05501
A higher order perturbation approach for electromagnetic scattering problems on random domains
A higher order perturbation approach for electromagnetic scattering problems on random domains We consider time-harmonic electromagnetic scattering problems on perfectly conducting scatterers with uncertain shape. Thus, the scattered field will also be uncertain. Based on the knowledge of the two-point correlation of ...
https://arxiv.org/abs/1907.05501
null
math.NA
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05505
1907.05505
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs). The increasing complexity of networking and computing infrastructures is already driving the introd...
https://arxiv.org/abs/1907.05505
null
cs.LG
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05517
1907.05517
The Gain of Energy Accumulation in Multi-hop Wireless Network Broadcast
The Gain of Energy Accumulation in Multi-hop Wireless Network Broadcast Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of b...
https://arxiv.org/abs/1907.05517
null
cs.NI
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05521
1907.05521
Cui Prodest? Reciprocity of collaboration measured by Russian Index of Science Citation
Cui Prodest? Reciprocity of collaboration measured by Russian Index of Science Citation Scientific collaboration is often not perfectly reciprocal. Scientifically strong countries/institutions/laboratories may help their less prominent partners with leading scholars, or finance, or other resources. What is interesting...
https://arxiv.org/abs/1907.05521
null
cs.DL
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05524
1907.05524
Solving Hard Coreference Problems
Solving Hard Coreference Problems Coreference resolution is a key problem in natural language understanding that still escapes reliable solutions. One fundamental difficulty has been that of resolving instances involving pronouns since they often require deep language understanding and use of background knowledge. In ...
https://arxiv.org/abs/1907.05524
null
cs.CL
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true