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arxiv_id
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title
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text
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url
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doi
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published
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era
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dendro_not_after
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arxiv:1706.01945
1706.01945
Practical Integer-to-Binary Mapping for Quantum Annealers
Practical Integer-to-Binary Mapping for Quantum Annealers Recent advancements in quantum annealing hardware and numerous studies in this area suggests that quantum annealers have the potential to be effective in solving unconstrained binary quadratic programming problems. Naturally, one may desire to expand the applic...
https://arxiv.org/abs/1706.01945
10.1007/s11128-019-2213-x
quant-ph
2017-06-06T00:00:00+00:00
pre2021
2017-06-06
2,017
0.995191
0.851517
0.99652
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2017-06-06, 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 ~0.4% of ...
true
arxiv:1706.08447
1706.08447
On the selection of polynomials for the DLP quasi-polynomial time algorithm in small characteristic
On the selection of polynomials for the DLP quasi-polynomial time algorithm in small characteristic In this paper we characterize the set of polynomials $f\in\mathbb F_q[X]$ satisfying the following property: there exists a positive integer $d$ such that for any positive integer $\ell$ less or equal than the degree of...
https://arxiv.org/abs/1706.08447
null
math.NT
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:1707.04610
1707.04610
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference Modern mobile applications are benefiting significantly from the advancement in deep learning, e.g., implementing real-time image recognition and conversational system. Given a trained deep learning model, applications usually need to perform a seri...
https://arxiv.org/abs/1707.04610
null
cs.PF
2018-04-15T00:00:00+00:00
pre2021
2018-04-15
2,018
0.994885
0.851029
0.996459
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-04-15, 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 ~0.4% of ...
true
arxiv:1707.08214
1707.08214
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural Networks In this paper, we introduce a novel type of Rectified Linear Unit (ReLU), called a Dual Rectified Linear Unit (DReLU). A DReLU, which comes with an unbounded positive and negative image, can be used as ...
https://arxiv.org/abs/1707.08214
10.1016/j.patrec.2018.09.006
cs.CL
2017-10-31T00:00:00+00:00
pre2021
2017-10-31
2,017
0.99509
0.851355
0.9965
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2017-10-31, 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 ~0.4% of ...
true
arxiv:1708.07653
1708.07653
Gap-planar Graphs
Gap-planar Graphs We introduce the family of $k$-gap-planar graphs for $k \geq 0$, i.e., graphs that have a drawing in which each crossing is assigned to one of the two involved edges and each edge is assigned at most $k$ of its crossings. This definition is motivated by applications in edge casing, as a $k$-gap-plana...
https://arxiv.org/abs/1708.07653
10.1016/j.tcs.2018.05.031
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:1709.00906
1709.00906
Secrecy Rate Region of SWIPT Wiretap Interference Channels
Secrecy Rate Region of SWIPT Wiretap Interference Channels The secrecy rate region of wiretap interference channels with a multi-antenna passive eavesdropper is studied under receiver energy harvesting constraints. To stay operational in the network, the legitimate receivers demand energy alongside information, which ...
https://arxiv.org/abs/1709.00906
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:1710.05053
1710.05053
Automated Scalable Bayesian Inference via Hilbert Coresets
Automated Scalable Bayesian Inference via Hilbert Coresets The automation of posterior inference in Bayesian data analysis has enabled experts and nonexperts alike to use more sophisticated models, engage in faster exploratory modeling and analysis, and ensure experimental reproducibility. However, standard automated ...
https://arxiv.org/abs/1710.05053
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:1711.02030
1711.02030
Towards Optimal Energy Harvesting Receiver Design in MIMO Systems
Towards Optimal Energy Harvesting Receiver Design in MIMO Systems In this paper, we investigate a multiple-input multiple-output (MIMO) system with simultaneous information detection (ID) and energy harvesting (EH) receiver. This point-to-point system operates in the vicinity of active interfering nodes. The receiver ...
https://arxiv.org/abs/1711.02030
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:1711.05914
1711.05914
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview Generative Adversarial Networks (GAN) have received wide attention in the machine learning field for their potential to learn high-dimensional, complex real data distribution. Specifically, they do not rely on any assumptions about the distributi...
https://arxiv.org/abs/1711.05914
10.1145/3301282
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:1711.06712
1711.06712
Optimal Combination of Image Denoisers
Optimal Combination of Image Denoisers Given a set of image denoisers, each having a different denoising capability, is there a provably optimal way of combining these denoisers to produce an overall better result? An answer to this question is fundamental to designing an ensemble of weak estimators for complex scenes...
https://arxiv.org/abs/1711.06712
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:1711.07172
1711.07172
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives Fast development of sharing services has become a crucial part of the cyber-enabled world construction process, as sharing services reinvent how people exchange and obtain goods or services. However, privacy leakage or ...
https://arxiv.org/abs/1711.07172
10.1109/ACCESS.2019.2894344
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:1712.02949
1712.02949
Journey to the Center of the Point Set
Journey to the Center of the Point Set $\renewcommand{\Re}{\mathbb{R}} \newcommand{\eps}{\varepsilon} \newcommand{\Net}{S} \newcommand{\tldO}{\widetilde{O}} \newcommand{\body}{C} $ We revisit an algorithm of Clarkson etal [CEMST96], that computes (roughly) a $1/(4d^2)$-centerpoint in $\tldO(d^9)$ time, for a point set...
https://arxiv.org/abs/1712.02949
null
cs.CG
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:1801.06611
1801.06611
Multiple Description Convolutional Neural Networks for Image Compression
Multiple Description Convolutional Neural Networks for Image Compression Multiple description coding (MDC) is able to stably transmit the signal in the un-reliable and non-prioritized networks, which has been broadly studied for several decades. However, the traditional MDC doesn't well leverage image's context featur...
https://arxiv.org/abs/1801.06611
null
cs.MM
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:1802.07292
1802.07292
Bots increase exposure to negative and inflammatory content in online social systems
Bots increase exposure to negative and inflammatory content in online social systems Societies are complex systems which tend to polarize into sub-groups of individuals with dramatically opposite perspectives. This phenomenon is reflected -- and often amplified -- in online social networks where, however, humans are n...
https://arxiv.org/abs/1802.07292
10.1073/pnas.1803470115
physics.soc-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:1802.07957
1802.07957
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps In this paper, we propose a novel effective non-rigid object tracking framework based on the spatial-temporal consistent saliency detection. In contrast to most existing trackers that utilize a bounding box to specify the trac...
https://arxiv.org/abs/1802.07957
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:1803.03562
1803.03562
An Integrated Inverse Space Sparse Representation Framework for Tumor Classification
An Integrated Inverse Space Sparse Representation Framework for Tumor Classification Microarray gene expression data-based tumor classification is an active and challenging issue. In this paper, an integrated tumor classification framework is presented, which aims to exploit information in existing available samples, ...
https://arxiv.org/abs/1803.03562
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:1803.11347
1803.11347
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Although reinforcement learning methods can achieve impressive results in simulation, the real world presents two major challenges: generating samples is exceedingly expensive, and unexpected perturbations or unseen situations ca...
https://arxiv.org/abs/1803.11347
null
cs.LG
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:1804.07672
1804.07672
Unsupervised learning of the brain connectivity dynamic using residual D-net
Unsupervised learning of the brain connectivity dynamic using residual D-net In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net. As it is often the case in medical research, in contrast to typical deep learning tasks, the s...
https://arxiv.org/abs/1804.07672
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:1805.04510
1805.04510
Social networks and geography: a review of the literature and its implications
Social networks and geography: a review of the literature and its implications The spatial metaphor of the network along with its accompanying abstractions, such as flow, movement, and connectivity, have been central themes throughout the relational turn in human geography. However, to date networks in geography have ...
https://arxiv.org/abs/1805.04510
null
cs.SI
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:1805.06019
1805.06019
RLFC: Random Access Light Field Compression using Key Views and Bounded Integer Encoding
RLFC: Random Access Light Field Compression using Key Views and Bounded Integer Encoding We present a new hierarchical compression scheme for encoding light field images (LFI) that is suitable for interactive rendering. Our method (RLFC) exploits redundancies in the light field images by constructing a tree structure....
https://arxiv.org/abs/1805.06019
10.1145/3306131.3317018
cs.GR
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:1805.09460
1805.09460
Cautious Deep Learning
Cautious Deep Learning Most classifiers operate by selecting the maximum of an estimate of the conditional distribution $p(y|x)$ where $x$ stands for the features of the instance to be classified and $y$ denotes its label. This often results in a {\em hubristic bias}: overconfidence in the assignment of a definite lab...
https://arxiv.org/abs/1805.09460
null
stat.ML
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:1806.08915
1806.08915
DALEX: explainers for complex predictive models
DALEX: explainers for complex predictive models Predictive modeling is invaded by elastic, yet complex methods such as neural networks or ensembles (model stacking, boosting or bagging). Such methods are usually described by a large number of parameters or hyper parameters - a price that one needs to pay for elasticit...
https://arxiv.org/abs/1806.08915
null
stat.ML
2018-07-05T00:00:00+00:00
pre2021
2018-07-05
2,018
0.99473
0.850781
0.996428
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-07-05, 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:1808.00274
1808.00274
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions Estimating motion from images is a well-studied problem in computer vision and robotics. Previous work has developed techniques to estimate the motion of a moving camera in a largely static environment (e.g., visual odometry) ...
https://arxiv.org/abs/1808.00274
10.1109/IROS.2018.8594213
cs.RO
2018-08-14T00:00:00+00:00
pre2021
2018-08-14
2,018
0.994634
0.850629
0.996409
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-08-14, 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:1808.02152
1808.02152
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification For fine-grained visual classification, objects usually share similar geometric structure but present variant local appearance and different pose. Therefore, localizing and extracting discriminative local features play a crucial role i...
https://arxiv.org/abs/1808.02152
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:1808.10632
1808.10632
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations
A novel extension of Generalized Low-Rank Approximation of Matrices based on multiple-pairs of transformations Dimensionality reduction is a main step in the learning process which plays an essential role in many applications. The most popular methods in this field like SVD, PCA, and LDA, only can be applied to data w...
https://arxiv.org/abs/1808.10632
null
cs.LG
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:1809.01431
1809.01431
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation We present a simple approach to improve direct speech-to-text translation (ST) when the source language is low-resource: we pre-train the model on a high-resource automatic speech recognition (ASR) task, and then fine-tun...
https://arxiv.org/abs/1809.01431
null
cs.CL
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:1809.08722
1809.08722
Online Object and Task Learning via Human Robot Interaction
Online Object and Task Learning via Human Robot Interaction This work describes the development of a robotic system that acquires knowledge incrementally through human interaction where new tools and motions are taught on the fly. The robotic system developed was one of the five finalists in the KUKA Innovation Award ...
https://arxiv.org/abs/1809.08722
null
cs.RO
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:1810.01155
1810.01155
Learning-Based Physical Layer Communications for Multi-agent Collaboration
Learning-Based Physical Layer Communications for Multi-agent Collaboration Consider a collaborative task carried out by two autonomous agents that are able to communicate over a noisy channel. Each agent is only aware of its own state, while the accomplishment of the task depends on the value of the joint state of bot...
https://arxiv.org/abs/1810.01155
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:1810.01545
1810.01545
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation In the problem of domain adaptation for binary classification, the learner is presented with labeled examples from a source domain, and must correctly classify unlabeled examples from a target domain, which may differ from the source. Previous work o...
https://arxiv.org/abs/1810.01545
null
stat.ML
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:1810.04249
1810.04249
Data-dependent compression of random features for large-scale kernel approximation
Data-dependent compression of random features for large-scale kernel approximation Kernel methods offer the flexibility to learn complex relationships in modern, large data sets while enjoying strong theoretical guarantees on quality. Unfortunately, these methods typically require cubic running time in the data set si...
https://arxiv.org/abs/1810.04249
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:1810.04329
1810.04329
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach Many algorithms in workflow scheduling and resource provisioning rely on the performance estimation of tasks to produce a scheduling plan. A profiler that is capable of modeling the execution of tasks and predicting their run...
https://arxiv.org/abs/1810.04329
10.1109/UCC.2018.00018
cs.DC
2018-10-10T00:00:00+00:00
pre2021
2018-10-10
2,018
0.994471
0.850369
0.996376
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-10-10, 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:1810.04632
1810.04632
Non-linear process convolutions for multi-output Gaussian processes
Non-linear process convolutions for multi-output Gaussian processes The paper introduces a non-linear version of the process convolution formalism for building covariance functions for multi-output Gaussian processes. The non-linearity is introduced via Volterra series, one series per each output. We provide closed-fo...
https://arxiv.org/abs/1810.04632
null
stat.ML
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:1810.07304
1810.07304
Tracking Users across the Web via TLS Session Resumption
Tracking Users across the Web via TLS Session Resumption User tracking on the Internet can come in various forms, e.g., via cookies or by fingerprinting web browsers. A technique that got less attention so far is user tracking based on TLS and specifically based on the TLS session resumption mechanism. To the best of ...
https://arxiv.org/abs/1810.07304
10.1145/3274694.3274708
cs.CR
2018-10-16T00:00:00+00:00
pre2021
2018-10-16
2,018
0.994451
0.850338
0.996372
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-10-16, 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:1810.12630
1810.12630
Spreading of Memes on Multiplex Networks
Spreading of Memes on Multiplex Networks A model for the spreading of online information or "memes" on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of [Gleeson et al., Phys.Rev. X., 2016] in two ways. First, even for a monoplex (single-layer) network, the mo...
https://arxiv.org/abs/1810.12630
10.1088/1367-2630/ab05ef
physics.soc-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:1811.00090
1811.00090
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of the subtasks is critical in hierar...
https://arxiv.org/abs/1811.00090
null
cs.AI
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:1811.01088
1811.01088
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks Pretraining sentence encoders with language modeling and related unsupervised tasks has recently been shown to be very effective for language understanding tasks. By supplementing language model-style pretraining with further traini...
https://arxiv.org/abs/1811.01088
null
cs.CL
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:1811.05321
1811.05321
Correction of AI systems by linear discriminants: Probabilistic foundations
Correction of AI systems by linear discriminants: Probabilistic foundations Artificial Intelligence (AI) systems sometimes make errors and will make errors in the future, from time to time. These errors are usually unexpected, and can lead to dramatic consequences. Intensive development of AI and its practical applica...
https://arxiv.org/abs/1811.05321
10.1016/j.ins.2018.07.040
cs.LG
2018-11-11T00:00:00+00:00
pre2021
2018-11-11
2,018
0.994363
0.850197
0.996355
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-11-11, 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 ~0.5% of ...
true
arxiv:1811.07825
1811.07825
Forman-Ricci Curvature for Hypergraphs
Forman-Ricci Curvature for Hypergraphs In contrast to graph-based models for complex networks, hypergraphs are more general structures going beyond binary relations of graphs. For graphs, statistics gauging different aspects of their structures have been devised and there is undergoing research for devising them for h...
https://arxiv.org/abs/1811.07825
10.13140/RG.2.2.27347.84001
cs.DM
2018-11-19T00:00:00+00:00
pre2021
2018-11-19
2,018
0.994334
0.850151
0.996349
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-11-19, 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 ~0.5% of ...
true
arxiv:1811.11270
1811.11270
Challenges of measuring the impact of software: an examination of the lme4 R package
Challenges of measuring the impact of software: an examination of the lme4 R package The rise of software as a research object is mirrored in the increasing interests towards quantitative studies of scientific software. However, due to the inconsistent practice of citing software, most of the existing studies analyzin...
https://arxiv.org/abs/1811.11270
10.1016/j.joi.2019.02.007
cs.DL
2018-11-27T00:00:00+00:00
pre2021
2018-11-27
2,018
0.994304
0.850104
0.996343
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-11-27, 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:1812.03183
1812.03183
A hybrid machine-learning algorithm for designing quantum experiments
A hybrid machine-learning algorithm for designing quantum experiments We introduce a hybrid machine-learning algorithm for designing quantum optics experiments that produce specific quantum states. Our algorithm successfully found experimental schemes to produce all 5 states we asked it to, including Schrödinger cat ...
https://arxiv.org/abs/1812.03183
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:1812.04597
1812.04597
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport Classical supervised learning produces unreliable models when training and target distributions differ, with most existing solutions requiring samples from the target domain. We propose a proactive approach which learns a relationship ...
https://arxiv.org/abs/1812.04597
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:1812.05878
1812.05878
In Praise of Sequence (Co-)Algebra and its implementation in Haskell
In Praise of Sequence (Co-)Algebra and its implementation in Haskell What is Sequence Algebra? This is a question that any teacher or student of mathematics or computer science can engage with. Sequences are in Calculus, Combinatorics, Statistics and Computation. They are foundational, a step up from number arithmetic...
https://arxiv.org/abs/1812.05878
null
math.CO
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:1812.09660
1812.09660
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks The processing and storage of critical data in large-scale cloud networks necessitate the need for scalable security solutions. It has been shown that deploying all possible security measures incurs a cost on performance...
https://arxiv.org/abs/1812.09660
null
cs.AI
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:1901.05350
1901.05350
TensorFlow.js: Machine Learning for the Web and Beyond
TensorFlow.js: Machine Learning for the Web and Beyond TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that are compatible ...
https://arxiv.org/abs/1901.05350
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:1901.07634
1901.07634
DTN: A Learning Rate Scheme with Convergence Rate of $\mathcal{O}(1/t)$ for SGD
DTN: A Learning Rate Scheme with Convergence Rate of $\mathcal{O}(1/t)$ for SGD This paper has some inconsistent results, i.e., we made some failed claims because we did some mistakes for using the test criterion for a series. Precisely, our claims on the convergence rate of $\mathcal{O}(1/t)$ of SGD presented in Theo...
https://arxiv.org/abs/1901.07634
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:1902.00062
1902.00062
Contactless Cardiac Arrest Detection Using Smart Devices
Contactless Cardiac Arrest Detection Using Smart Devices Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Rapid diagnosis and initiation of cardiopulmonary resuscitation (CPR) is the cornerstone of therapy for victims of cardiac arrest. Yet a significant fraction of cardiac arrest victims h...
https://arxiv.org/abs/1902.00062
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:1902.02470
1902.02470
PAI Data, Summary of the Project PAI Data Protocol
PAI Data, Summary of the Project PAI Data Protocol The Project PAI Data Protocol ("PAI Data") is a specification that extends the Project PAI Blockchain Protocol to include a method of securing and provisioning access to arbitrary data. In the context of PAI Coin Development Proposal (PDP) 2, this paper defines two im...
https://arxiv.org/abs/1902.02470
null
cs.DC
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:1902.02605
1902.02605
EMaaS: Energy Measurements as a Service for Mobile Applications
EMaaS: Energy Measurements as a Service for Mobile Applications Measuring energy consumption is a challenging task faced by developers when building mobile apps. This paper presents EMaaS: a system that provides reliable energy measurements for mobile applications, without requiring a complex setup. It combines estima...
https://arxiv.org/abs/1902.02605
null
cs.SE
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:1902.04491
1902.04491
SDN Controllers: Benchmarking & Performance Evaluation
SDN Controllers: Benchmarking & Performance Evaluation Software Defined Networks offer flexible and intelligent network operations by splitting a traditional network into a centralized control plane and a programmable data plane. The intelligent control plane is responsible for providing flow paths to switches and opt...
https://arxiv.org/abs/1902.04491
null
cs.NI
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:1902.05146
1902.05146
On the CVP for the root lattices via folding with deep ReLU neural networks
On the CVP for the root lattices via folding with deep ReLU neural networks Point lattices and their decoding via neural networks are considered in this paper. Lattice decoding in Rn, known as the closest vector problem (CVP), becomes a classification problem in the fundamental parallelotope with a piecewise linear fu...
https://arxiv.org/abs/1902.05146
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:1902.05396
1902.05396
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation Supervised deep learning methods for segmentation require large amounts of labelled training data, without which they are prone to overfitting, not generalizing well to unseen images. In practice, obtaining a large number of annotations from clinical experts is expensi...
https://arxiv.org/abs/1902.05396
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:1902.06865
1902.06865
Hyperbolic Discounting and Learning over Multiple Horizons
Hyperbolic Discounting and Learning over Multiple Horizons Reinforcement learning (RL) typically defines a discount factor as part of the Markov Decision Process. The discount factor values future rewards by an exponential scheme that leads to theoretical convergence guarantees of the Bellman equation. However, eviden...
https://arxiv.org/abs/1902.06865
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:1902.06942
1902.06942
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning
Air Quality Measurement Based on Double-Channel Convolutional Neural Network Ensemble Learning Environmental air quality affects people's life, obtaining real-time and accurate environmental air quality has a profound guiding significance for the development of social activities. At present, environmental air quality ...
https://arxiv.org/abs/1902.06942
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:1902.07249
1902.07249
Discovery of Natural Language Concepts in Individual Units of CNNs
Discovery of Natural Language Concepts in Individual Units of CNNs Although deep convolutional networks have achieved improved performance in many natural language tasks, they have been treated as black boxes because they are difficult to interpret. Especially, little is known about how they represent language in thei...
https://arxiv.org/abs/1902.07249
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:1902.09852
1902.09852
Associatively Segmenting Instances and Semantics in Point Clouds
Associatively Segmenting Instances and Semantics in Point Clouds A 3D point cloud describes the real scene precisely and intuitively.To date how to segment diversified elements in such an informative 3D scene is rarely discussed. In this paper, we first introduce a simple and flexible framework to segment instances an...
https://arxiv.org/abs/1902.09852
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:1902.10699
1902.10699
Validation of smartphone based pavement roughness measures
Validation of smartphone based pavement roughness measures Smartphones are equipped with sensors such as accelerometers, gyroscope, and GPS in one cost-effective device with an acceptable level of accuracy. There have been some research studies carried out in terms of using smartphones to measure the pavement roughnes...
https://arxiv.org/abs/1902.10699
null
cs.HC
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:1902.10700
1902.10700
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers We propose a hybrid sequential deep learning model to predict the risk of AMD progression in non-exudative AMD eyes at multiple timepoints, starting from short-term progression (3-months) up to long-term ...
https://arxiv.org/abs/1902.10700
null
q-bio.QM
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:1902.10703
1902.10703
Decentralized Evolution and Consolidation of RDF Graphs
Decentralized Evolution and Consolidation of RDF Graphs The World Wide Web and the Semantic Web are designed as a network of distributed services and datasets. In this network and its genesis, collaboration played and still plays a crucial role. But currently we only have central collaboration solutions for RDF data, ...
https://arxiv.org/abs/1902.10703
10.1007/978-3-319-60131-1_2
cs.DB
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:1902.10704
1902.10704
Adaptive Gaussian Copula ABC
Adaptive Gaussian Copula ABC Approximate Bayesian computation (ABC) is a set of techniques for Bayesian inference when the likelihood is intractable but sampling from the model is possible. This work presents a simple yet effective ABC algorithm based on the combination of two classical ABC approaches --- regression A...
https://arxiv.org/abs/1902.10704
null
stat.CO
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:1902.10707
1902.10707
Neural Imaging Pipelines - the Scourge or Hope of Forensics?
Neural Imaging Pipelines - the Scourge or Hope of Forensics? Forensic analysis of digital photographs relies on intrinsic statistical traces introduced at the time of their acquisition or subsequent editing. Such traces are often removed by post-processing (e.g., down-sampling and re-compression applied upon distribut...
https://arxiv.org/abs/1902.10707
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:1902.10731
1902.10731
Private Center Points and Learning of Halfspaces
Private Center Points and Learning of Halfspaces We present a private learner for halfspaces over an arbitrary finite domain $X\subset \mathbb{R}^d$ with sample complexity $mathrm{poly}(d,2^{\log^*|X|})$. The building block for this learner is a differentially private algorithm for locating an approximate center point...
https://arxiv.org/abs/1902.10731
null
cs.LG
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:1902.10739
1902.10739
A Replication Study: Machine Learning Models Are Capable of Predicting Sexual Orientation From Facial Images
A Replication Study: Machine Learning Models Are Capable of Predicting Sexual Orientation From Facial Images Recent research used machine learning methods to predict a person's sexual orientation from their photograph (Wang and Kosinski, 2017). To verify this result, two of these models are replicated, one based on a ...
https://arxiv.org/abs/1902.10739
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:1902.10740
1902.10740
Object-driven Text-to-Image Synthesis via Adversarial Training
Object-driven Text-to-Image Synthesis via Adversarial Training In this paper, we propose Object-driven Attentive Generative Adversarial Newtorks (Obj-GANs) that allow object-centered text-to-image synthesis for complex scenes. Following the two-step (layout-image) generation process, a novel object-driven attentive im...
https://arxiv.org/abs/1902.10740
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:1902.10741
1902.10741
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics. LiDAR based systems have proven to be superior compared to vision based systems due to its accuracy and robustness. In spite of its superiority, pure LiDA...
https://arxiv.org/abs/1902.10741
null
cs.RO
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:1902.10744
1902.10744
Joint Face Detection and Facial Motion Retargeting for Multiple Faces
Joint Face Detection and Facial Motion Retargeting for Multiple Faces Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D character. Learning 3D morphable model (3DMM) parameters from 2D face ...
https://arxiv.org/abs/1902.10744
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:1902.10754
1902.10754
Introspection Learning
Introspection Learning Traditional reinforcement learning agents learn from experience, past or present, gained through interaction with their environment. Our approach synthesizes experience, without requiring an agent to interact with their environment, by asking the policy directly "Are there situations X, Y, and Z...
https://arxiv.org/abs/1902.10754
null
cs.LG
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:1902.10759
1902.10759
Phase-field modeling of fracture for quasi-brittle materials
Phase-field modeling of fracture for quasi-brittle materials This paper addresses the modeling of fracture in quasi-brittle materials using a phase-field approach to the description of crack topology. Within the computational mechanics community, several studies have treated the issue of modeling fracture using phase ...
https://arxiv.org/abs/1902.10759
10.1016/j.undsp.2018.08.002
cs.CE
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:1902.10773
1902.10773
An exponential lower bound for the degrees of invariants of cubic forms and tensor actions
An exponential lower bound for the degrees of invariants of cubic forms and tensor actions Using the Grosshans Principle, we develop a method for proving lower bounds for the maximal degree of a system of generators of an invariant ring. This method also gives lower bounds for the maximal degree of a set of invariants...
https://arxiv.org/abs/1902.10773
null
math.RT
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:1902.10810
1902.10810
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation The convergence of HPC and data-intensive methodologies provide a promising approach to major performance improvements. This paper provides a general description of the interaction between traditional HPC and ML approaches and m...
https://arxiv.org/abs/1902.10810
null
cs.DC
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:1902.10812
1902.10812
Padovan heaps
Padovan heaps We analyze priority queues of Fibonacci family. The paper is inspired by Violation heap [1], where A. Elmasry saves one pointer in representation of Fibonacci heap nodes while achieving the same amortized bounds as Fibonacci heaps [2] of M. L. Fredman and R. E. Tarjan. Unfortunately author forces the hea...
https://arxiv.org/abs/1902.10812
null
cs.DS
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:1902.10814
1902.10814
Graph-RISE: Graph-Regularized Image Semantic Embedding
Graph-RISE: Graph-Regularized Image Semantic Embedding Learning image representations to capture fine-grained semantics has been a challenging and important task enabling many applications such as image search and clustering. In this paper, we present Graph-Regularized Image Semantic Embedding (Graph-RISE), a large-sc...
https://arxiv.org/abs/1902.10814
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:1902.10816
1902.10816
Automated Detection of Pre-Disaster Building Images from Google Street View
Automated Detection of Pre-Disaster Building Images from Google Street View After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain lessons and gain knowledge from the event. Images of damaged buildings and components provide valuable evidence to understand the c...
https://arxiv.org/abs/1902.10816
null
cs.CV
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:1902.10828
1902.10828
The VOiCES from a Distance Challenge 2019 Evaluation Plan
The VOiCES from a Distance Challenge 2019 Evaluation Plan The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with the special focus on single channel distant/far-field audio, under noisy conditions. The main objectives of...
https://arxiv.org/abs/1902.10828
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:1902.10832
1902.10832
Capacity Results for the Noisy Shuffling Channel
Capacity Results for the Noisy Shuffling Channel Motivated by DNA-based storage, we study the noisy shuffling channel, which can be seen as the concatenation of a standard noisy channel (such as the BSC) and a shuffling channel, which breaks the data block into small pieces and shuffles them. This channel models a DNA...
https://arxiv.org/abs/1902.10832
null
cs.IT
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:1902.10838
1902.10838
Data-centric online ecosystem for digital materials science
Data-centric online ecosystem for digital materials science Materials science is becoming increasingly more reliant on digital data to facilitate progress in the field. Due to a large diversity in its scope, breadth, and depth, organizing the data in a standard way to optimize the speed and creative breadth of the res...
https://arxiv.org/abs/1902.10838
null
cond-mat.mtrl-sci
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:1902.10840
1902.10840
Deep Interpretable Non-Rigid Structure from Motion
Deep Interpretable Non-Rigid Structure from Motion All current non-rigid structure from motion (NRSfM) algorithms are limited with respect to: (i) the number of images, and (ii) the type of shape variability they can handle. This has hampered the practical utility of NRSfM for many applications within vision. In this ...
https://arxiv.org/abs/1902.10840
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:1902.10847
1902.10847
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings Visual identification of individual animals that bear unique natural body markings is an important task in wildlife conservation. The photo databases of animal markings grow larger and each new observation has to be matc...
https://arxiv.org/abs/1902.10847
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:1902.10848
1902.10848
Machine-assisted annotation of forensic imagery
Machine-assisted annotation of forensic imagery Image collections, if critical aspects of image content are exposed, can spur research and practical applications in many domains. Supervised machine learning may be the only feasible way to annotate very large collections, but leading approaches rely on large samples of...
https://arxiv.org/abs/1902.10848
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:1902.10849
1902.10849
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing The financial crisis of 2008 generated interest in more transparent, rules-based strategies for portfolio construction, with Smart beta strategies emerging as a trend among institutional investors. While they p...
https://arxiv.org/abs/1902.10849
null
cs.CE
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:1902.10851
1902.10851
Analysis of Quantum Multi-Prover Zero-Knowledge Systems: Elimination of the Honest Condition and Computational Zero-Knowledge Systems for QMIP*
Analysis of Quantum Multi-Prover Zero-Knowledge Systems: Elimination of the Honest Condition and Computational Zero-Knowledge Systems for QMIP* Zero-knowledge and multi-prover systems are both central notions in classical and quantum complexity theory. There is, however, little research in quantum multi-prover zero-kn...
https://arxiv.org/abs/1902.10851
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:1902.10877
1902.10877
Financial series prediction using Attention LSTM
Financial series prediction using Attention LSTM Financial time series prediction, especially with machine learning techniques, is an extensive field of study. In recent times, deep learning methods (especially time series analysis) have performed outstandingly for various industrial problems, with better prediction t...
https://arxiv.org/abs/1902.10877
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:1902.10884
1902.10884
Security Function Analysis on Performance of High-Speed Router Networking
Security Function Analysis on Performance of High-Speed Router Networking A router is a device, in the computer networks, that is used to forward a data packet. Because of its function, the router becomes an important role in measuring the performance of computer networks. It needs to process the incoming data packets...
https://arxiv.org/abs/1902.10884
null
cs.NI
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:1902.10885
1902.10885
Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment
Face Recognition Under Varying Blur, Illumination and Expression in an Unconstrained Environment Face recognition system is one of the esteemed research areas in pattern recognition and computer vision as long as its major challenges. A few challenges in recognizing faces are blur, illumination, and varied expressions...
https://arxiv.org/abs/1902.10885
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:1902.10886
1902.10886
An Investigation of Performance versus Security in Cognitive Radio Networks with Supporting Cloud Platforms
An Investigation of Performance versus Security in Cognitive Radio Networks with Supporting Cloud Platforms The growth of wireless devices affects the availability of limited frequencies or spectrum bands as it has been known that spectrum bands are a natural resource that cannot be added. Meanwhile, the licensed freq...
https://arxiv.org/abs/1902.10886
null
cs.NI
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:1902.10909
1902.10909
BERT for Joint Intent Classification and Slot Filling
BERT for Joint Intent Classification and Slot Filling Intent classification and slot filling are two essential tasks for natural language understanding. They often suffer from small-scale human-labeled training data, resulting in poor generalization capability, especially for rare words. Recently a new language repres...
https://arxiv.org/abs/1902.10909
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:1902.10910
1902.10910
IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things
IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things Internet of Things (IoT) and Network Softwarization are fast becoming core technologies of information systems and network management for next generation Internet. The deployment and applications of IoT rang...
https://arxiv.org/abs/1902.10910
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:1902.10932
1902.10932
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks This paper proposes a video delivery strategy for dynamic streaming services which maximizes time-average streaming quality under a playback delay constraint in wireless caching networks. The network where popular videos encoded by scalab...
https://arxiv.org/abs/1902.10932
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:1902.10935
1902.10935
Lower Bounds for Multiplication via Network Coding
Lower Bounds for Multiplication via Network Coding Multiplication is one of the most fundamental computational problems, yet its true complexity remains elusive. The best known upper bound, by Fürer, shows that two $n$-bit numbers can be multiplied via a boolean circuit of size $O(n \lg n \cdot 4^{\lg^*n})$, where $\...
https://arxiv.org/abs/1902.10935
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:1902.10938
1902.10938
High dynamic range image forensics using cnn
High dynamic range image forensics using cnn High dynamic range (HDR) imaging has recently drawn much attention in multimedia community. In this paper, we proposed a HDR image forensics method based on convolutional neural network (CNN).To our best knowledge, this is the first time to apply deep learning method on HDR...
https://arxiv.org/abs/1902.10938
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:1902.10943
1902.10943
A security steganography scheme based on hdr image
A security steganography scheme based on hdr image It is widely recognized that the image format is crucial to steganography for that each individual format has its unique properities. Nowadays, the most famous approach of digital image steganography is to combine a well-defined distortion function with efficient prac...
https://arxiv.org/abs/1902.10943
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:1902.10946
1902.10946
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would be computationally expensive while resizin...
https://arxiv.org/abs/1902.10946
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:1902.10953
1902.10953
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View
Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View In this paper we address the problems of detecting objects of interest in a video and of estimating their locations, solely from the gaze directions of people present in the video. Objects can be indistinctly located inside or outside...
https://arxiv.org/abs/1902.10953
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:1902.10974
1902.10974
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints Gaussian process (GP) modulated Cox processes are widely used to model point patterns. Existing approaches require a mapping (link function) between the unconstrained GP and the positive intensity function. This commonly yields solutions that...
https://arxiv.org/abs/1902.10974
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:1902.10993
1902.10993
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes. However, developments on hyperspect...
https://arxiv.org/abs/1902.10993
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:1902.10997
1902.10997
System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying
System Outage Performance for Three-Step Two-Way Energy Harvesting DF Relaying Wireless energy harvesting (WEH) has been recognized as a promising technique to prolong the lifetime of energy constrained relay nodes in wireless sensor networks. Its application and related performance study in three-step two-way decode-...
https://arxiv.org/abs/1902.10997
10.1109/TVT.2019.2897505
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:1902.10998
1902.10998
Shared Secret Key Generation via Carrier Frequency Offsets
Shared Secret Key Generation via Carrier Frequency Offsets This work presents a novel method to generate secret keys shared between a legitimate node pair (Alice and Bob) to safeguard the communication between them from an unauthorized node (Eve). To this end, we exploit the {\it reciprocal carrier frequency offset} (...
https://arxiv.org/abs/1902.10998
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:1902.10999
1902.10999
Evaluation of Frequent Itemset Mining Platforms using Apriori and FP-Growth Algorithm
Evaluation of Frequent Itemset Mining Platforms using Apriori and FP-Growth Algorithm With the overwhelming amount of complex and heterogeneous data pouring from any-where, any-time, and any-device, there is undeniably an era of Big Data. The emergence of the Big Data as a disruptive technology for next generation of ...
https://arxiv.org/abs/1902.10999
null
cs.DB
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:1902.11000
1902.11000
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders
3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders Accurate segmentation of heart structures imaged by cardiac MR is key for the quantitative analysis of pathology. High-resolution 3D MR sequences enable whole-heart structural imaging but are time-consuming,...
https://arxiv.org/abs/1902.11000
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:1902.11004
1902.11004
Global Vectors for Node Representations
Global Vectors for Node Representations Most network embedding algorithms consist in measuring co-occurrences of nodes via random walks then learning the embeddings using Skip-Gram with Negative Sampling. While it has proven to be a relevant choice, there are alternatives, such as GloVe, which has not been investigate...
https://arxiv.org/abs/1902.11004
10.1145/3308558.3313595
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:1902.11006
1902.11006
A Hierarchy of Polynomial Kernels
A Hierarchy of Polynomial Kernels In parameterized algorithmics, the process of kernelization is defined as a polynomial time algorithm that transforms the instance of a given problem to an equivalent instance of a size that is limited by a function of the parameter. As, afterwards, this smaller instance can then be s...
https://arxiv.org/abs/1902.11006
10.1007/978-3-030-10801-4_39
cs.CC
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