cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.NC - 神经元与认知 q-bio.TO - 组织和器官 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Ethics of Artificial Intelligence Demarcations
• [cs.CL]Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis
• [cs.CL]GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
• [cs.CL]Multi-Task Learning for Argumentation Mining
• [cs.CR]Android Malicious Application Classification Using Clustering
• [cs.CR]Flexible Byzantine Fault Tolerance
• [cs.CV]A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
• [cs.CV]A Novel Multi-layer Framework for Tiny Obstacle Discovery
• [cs.CV]Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
• [cs.CV]Attention-guided Network for Ghost-free High Dynamic Range Imaging
• [cs.CV]BIT: Biologically Inspired Tracker
• [cs.CV]DenseNet Models for Tiny ImageNet Classification
• [cs.CV]DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
• [cs.CV]Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
• [cs.CV]High-frequency crowd insights for public safety and congestion control
• [cs.CV]Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions
• [cs.CV]LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
• [cs.CV]Learning Actor Relation Graphs for Group Activity Recognition
• [cs.CV]Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
• [cs.CV]Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
• [cs.CV]Lung Nodule Classification using Deep Local-Global Networks
• [cs.CV]Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping
• [cs.CV]Orientation Aware Object Detection with Application to Firearms
• [cs.CV]Path-Restore: Learning Network Path Selection for Image Restoration
• [cs.CV]Privacy Preserving Group Membership Verification and Identification
• [cs.CV]RERERE: Remote Embodied Referring Expressions in Real indoor Environments
• [cs.CV]Siamese Attentional Keypoint Network for High Performance Visual Tracking
• [cs.CV]Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
• [cs.CV]Tertiary Eye Movement Classification by a Hybrid Algorithm
• [cs.CV]Transferable Semi-supervised 3D Object Detection from RGB-D Data
• [cs.CV]UDFNet: Unsupervised Disparity Fusion with Adversarial Networks
• [cs.CV]Using Videos to Evaluate Image Model Robustness
• [cs.CV]VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points
• [cs.CY]Migration patterns under different scenarios of sea level rise
• [cs.CY]The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism
• [cs.DC]Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources
• [cs.DC]Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations
• [cs.DC]IOArbiter: Dynamic Provisioning of Backend Block Storage in the Cloud
• [cs.DC]Pangolin: A Fault-Tolerant Persistent Memory Programming Library
• [cs.DC]Structural Self-adaptation for Decentralized Pervasive Intelligence
• [cs.GR]Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods
• [cs.HC]Drishtikon: An advanced navigational aid system for visually impaired people
• [cs.HC]HAUAR: Home Automation Using Action Recognition
• [cs.IR]A Neural Influence Diffusion Model for Social Recommendation
• [cs.IR]Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach
• [cs.IR]Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
• [cs.IT]A Refined Scaling Law for Spatially Coupled LDPC Codes Over the Binary Erasure Channel
• [cs.IT]Age of Information for Updates with Distortion
• [cs.IT]Compression is Comprehension, and the Unreasonable Effectiveness of Digital Computation in the Natural World
• [cs.IT]Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning
• [cs.IT]Fully-/Partially-Connected Hybrid Beamforming Architectures for mmWave MU-MIMO
• [cs.IT]Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness
• [cs.IT]Saddlepoint Approximations for Rayleigh Block-Fading Channels
• [cs.IT]Steane-Enlargement of Quantum Codes from the Hermitian Curve
• [cs.IT]Sublinear-Time Non-Adaptive Group Testing with $O(k \log n)$ Tests via Bit-Mixing Coding
• [cs.LG]Bounds in Query Learning
• [cs.LG]CPM-sensitive AUC for CTR prediction
• [cs.LG]DAG-GNN: DAG Structure Learning with Graph Neural Networks
• [cs.LG]Distributed Differentially Private Computation of Functions with Correlated Noise
• [cs.LG]End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets
• [cs.LG]Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data
• [cs.LG]Gender specific and Age dependent classification model for improved diagnosis in Parkinson’s disease
• [cs.LG]Generated Loss, Augmented Training, and Multiscale VAE
• [cs.LG]GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
• [cs.LG]Identifying cross country skiing techniques using power meters in ski poles
• [cs.LG]Improving benchmarks for autonomous vehicles testing using synthetically generated images
• [cs.LG]Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
• [cs.LG]Learning Feature Sparse Principal Components
• [cs.LG]Multiview Hessian Regularization for Image Annotation
• [cs.LG]Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning
• [cs.LG]Non-convex Penalty for Tensor Completion and Robust PCA
• [cs.LG]Quaternion Knowledge Graph Embedding
• [cs.LG]Read classification using semi-supervised deep learning
• [cs.LG]Relevant feature extraction for statistical inference
• [cs.LG]Semi-Cyclic Stochastic Gradient Descent
• [cs.LG]Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention
• [cs.LG]Statistical Learning and Estimation of Piano Fingering
• [cs.LG]Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure
• [cs.LG]The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
• [cs.LG]Wasserstein-Fisher-Rao Document Distance
• [cs.MS]A Flexible Framework for Parallel Multi-Dimensional DFTs
• [cs.MS]Big Math and the One-Brain Barrier A Position Paper and Architecture Proposal
• [cs.NE]Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
• [cs.NI]Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization
• [cs.NI]Benefits of Coding on Age of Information in Broadcast Networks
• [cs.NI]Discharged Payment Channels: Quantifying the Lightning Network’s Resilience to Topology-Based Attacks
• [cs.RO]Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)
• [cs.RO]Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
• [cs.RO]Estimating Forces of Robotic Pouring Using a LSTM RNN
• [cs.RO]Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles
• [cs.RO]Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
• [cs.SE]Risk Structures: Towards Engineering Risk-aware Autonomous Systems
• [cs.SI]Link Prediction in Multiplex Networks based on Interlayer Similarity
• [eess.IV]A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor
• [eess.IV]Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
• [math.OC]Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
• [math.ST]On the Kullback-Leibler divergence between location-scale densities
• [math.ST]Seasonal FIEGARCH Processes
• [physics.chem-ph]A survey on Big Data and Machine Learning for Chemistry
• [physics.soc-ph]Identification of intrinsic long-range degree correlations in complex networks
• [q-bio.GN]MinCall - MinION end2end convolutional deep learning basecaller
• [q-bio.NC]Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
• [q-bio.TO]Can fallopian tube anatomy predict pregnancy and pregnancy outcomes after tubal reversal surgery?
• [q-fin.ST]Copula estimation for nonsynchronous financial data
• [quant-ph]$α$-Logarithmic negativity
• [quant-ph]Quantum boomerang capacity
• [stat.AP]Amazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho
• [stat.AP]How Many Customers Does a Retail Chain Have?
• [stat.AP]Identifying Precipitation Regimes in China Using Model-Based Clustering of Spatial Functional Data
• [stat.CO]ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in {R}
• [stat.ME]A distribution-free smoothed combination method of biomarkers to improve diagnostic accuracy in multi-category classification
• [stat.ME]Deep Learning for Survival Outcomes
• [stat.ME]Exponential Random Graph models for Little Networks
• [stat.ME]From one environment to many: The problem of replicability of statistical inferences
• [stat.ME]Heterofusion: Fusing genomics data of different measurement scales
• [stat.ME]Model based functional clustering of varved lake sediments
• [stat.ML]Regression-Enhanced Random Forests
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• [cs.AI]Ethics of Artificial Intelligence Demarcations
Anders Braarud Hanssen, Stefano Nichele
http://arxiv.org/abs/1904.10239v1
• [cs.CL]Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis
Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babaoglu
http://arxiv.org/abs/1904.10195v1
• [cs.CL]GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
Yue Yu, Yilun Zhu, Yang Liu, Yan Liu, Siyao Peng, Mackenzie Gong, Amir Zeldes
http://arxiv.org/abs/1904.10419v1
• [cs.CL]Multi-Task Learning for Argumentation Mining
Tobias Kahse
http://arxiv.org/abs/1904.10162v1
• [cs.CR]Android Malicious Application Classification Using Clustering
Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak
http://arxiv.org/abs/1904.10142v1
• [cs.CR]Flexible Byzantine Fault Tolerance
Dahlia Malkhi, Kartik Nayak, Ling Ren
http://arxiv.org/abs/1904.10067v1
• [cs.CV]A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
Jaehoon Cho, Dongbo Min, Youngjung Kim, Kwanghoon Sohn
http://arxiv.org/abs/1904.10230v1
• [cs.CV]A Novel Multi-layer Framework for Tiny Obstacle Discovery
Feng Xue, Anlong Ming, Menghan Zhou, Yu Zhou
http://arxiv.org/abs/1904.10161v1
• [cs.CV]Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
http://arxiv.org/abs/1904.10082v1
• [cs.CV]Attention-guided Network for Ghost-free High Dynamic Range Imaging
Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang
http://arxiv.org/abs/1904.10293v1
• [cs.CV]BIT: Biologically Inspired Tracker
Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao
http://arxiv.org/abs/1904.10411v1
• [cs.CV]DenseNet Models for Tiny ImageNet Classification
Zoheb Abai, Nishad Rajmalwar
http://arxiv.org/abs/1904.10429v1
• [cs.CV]DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
Rui Wang, Nan Yang, Joerg Stueckler, Daniel Cremers
http://arxiv.org/abs/1904.10097v1
• [cs.CV]Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Ya-Liang Chang, Zhe Yu Liu, Winston Hsu
http://arxiv.org/abs/1904.10247v1
• [cs.CV]High-frequency crowd insights for public safety and congestion control
Karthik Nandakumar, Sebastien Blandin, Laura Wynter
http://arxiv.org/abs/1904.10180v1
• [cs.CV]Interpretable and Generalizable Deep Image Matching with Adaptive Convolutions
Shengcai Liao, Ling Shao
http://arxiv.org/abs/1904.10424v1
• [cs.CV]LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh
http://arxiv.org/abs/1904.10037v1
• [cs.CV]Learning Actor Relation Graphs for Group Activity Recognition
Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu
http://arxiv.org/abs/1904.10117v1
• [cs.CV]Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
http://arxiv.org/abs/1904.10056v1
• [cs.CV]Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Kuangen Zhang, Ming Hao, Jing Wang, Clarence W. de Silva, Chenglong Fu
http://arxiv.org/abs/1904.10014v1
• [cs.CV]Lung Nodule Classification using Deep Local-Global Networks
Mundher Al-Shabi, Boon Leong Lan, Wai Yee Chan, Kwan-Hoong Ng, Maxine Tan
http://arxiv.org/abs/1904.10126v1
• [cs.CV]Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping
Kostiantyn Khabarlak, Larysa Koriashkina
http://arxiv.org/abs/1904.10390v1
• [cs.CV]Orientation Aware Object Detection with Application to Firearms
Javed Iqbal, Muhammad Akhtar Munir, Arif Mahmood, Afsheen Rafaqat Ali, Mohsen Ali
http://arxiv.org/abs/1904.10032v1
• [cs.CV]Path-Restore: Learning Network Path Selection for Image Restoration
Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy
http://arxiv.org/abs/1904.10343v1
• [cs.CV]Privacy Preserving Group Membership Verification and Identification
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg
http://arxiv.org/abs/1904.10327v1
• [cs.CV]RERERE: Remote Embodied Referring Expressions in Real indoor Environments
Yuankai Qi, Qi Wu, Peter Anderson, Marco Liu, Chunhua Shen, Anton van den Hengel
http://arxiv.org/abs/1904.10151v1
• [cs.CV]Siamese Attentional Keypoint Network for High Performance Visual Tracking
Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang
http://arxiv.org/abs/1904.10128v1
• [cs.CV]Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
http://arxiv.org/abs/1904.10167v1
• [cs.CV]Tertiary Eye Movement Classification by a Hybrid Algorithm
Samuel-Hunter Berndt, Douglas Kirkpatrick, Timothy Taviano, Oleg Komogortsev
http://arxiv.org/abs/1904.10085v1
• [cs.CV]Transferable Semi-supervised 3D Object Detection from RGB-D Data
Yew Siang Tang, Gim Hee Lee
http://arxiv.org/abs/1904.10300v1
• [cs.CV]UDFNet: Unsupervised Disparity Fusion with Adversarial Networks
Can Pu, Robert B. Fisher
http://arxiv.org/abs/1904.10044v1
• [cs.CV]Using Videos to Evaluate Image Model Robustness
Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc Le, Jonathan Shlens
http://arxiv.org/abs/1904.10076v1
• [cs.CV]VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points
Masashi Yokozuka, Shuji Oishi, Thompson Simon, Atsuhiko Banno
http://arxiv.org/abs/1904.10324v1
• [cs.CY]Migration patterns under different scenarios of sea level rise
Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
http://arxiv.org/abs/1904.10160v1
• [cs.CY]The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism
Jake Goldenfein
http://arxiv.org/abs/1904.10016v1
• [cs.DC]Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources
Prateeksha Varshney, Yogesh Simmhan
http://arxiv.org/abs/1904.10125v1
• [cs.DC]Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations
Aurélien Cavelan, Rubén M. Cabezón, Florina M. Ciorba
http://arxiv.org/abs/1904.10221v1
• [cs.DC]IOArbiter: Dynamic Provisioning of Backend Block Storage in the Cloud
Moo-Ryong Ra, Hee Won Lee
http://arxiv.org/abs/1904.09984v1
• [cs.DC]Pangolin: A Fault-Tolerant Persistent Memory Programming Library
Lu Zhang, Steven Swanson
http://arxiv.org/abs/1904.10083v1
• [cs.DC]Structural Self-adaptation for Decentralized Pervasive Intelligence
Jovan Nikolic, Evangelos Pournaras
http://arxiv.org/abs/1904.09681v2
• [cs.GR]Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods
Moshe Eliasof, Andrei Sharf, Eran Treister
http://arxiv.org/abs/1904.10379v1
• [cs.HC]Drishtikon: An advanced navigational aid system for visually impaired people
Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally
http://arxiv.org/abs/1904.10351v1
• [cs.HC]HAUAR: Home Automation Using Action Recognition
Shashank Kotyan, Nishant Kumar, Pankaj Kumar Sahu, Venkanna Udutalapally
http://arxiv.org/abs/1904.10354v1
• [cs.IR]A Neural Influence Diffusion Model for Social Recommendation
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
http://arxiv.org/abs/1904.10322v1
• [cs.IR]Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach
Kasra Safari, Scott Sanner
http://arxiv.org/abs/1904.10403v1
• [cs.IR]Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
Sainath Adapa
http://arxiv.org/abs/1904.10273v1
• [cs.IT]A Refined Scaling Law for Spatially Coupled LDPC Codes Over the Binary Erasure Channel
Roman Sokolovskii, Fredrik Brännström, Alexandre Graell i Amat
http://arxiv.org/abs/1904.10410v1
• [cs.IT]Age of Information for Updates with Distortion
Melih Bastopcu, Sennur Ulukus
http://arxiv.org/abs/1904.10444v1
• [cs.IT]Compression is Comprehension, and the Unreasonable Effectiveness of Digital Computation in the Natural World
Hector Zenil
http://arxiv.org/abs/1904.10258v1
• [cs.IT]Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning
Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb
http://arxiv.org/abs/1904.10136v1
• [cs.IT]Fully-/Partially-Connected Hybrid Beamforming Architectures for mmWave MU-MIMO
Xiaoshen Song, Thomas Kühne, Giuseppe Caire
http://arxiv.org/abs/1904.10276v1
• [cs.IT]Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness
Wing Hong Wong, Yifei Lou, Tieyong Zeng
http://arxiv.org/abs/1904.10157v1
• [cs.IT]Saddlepoint Approximations for Rayleigh Block-Fading Channels
Alejandro Lancho, Jöhan Ostman, Giuseppe Durisi, Tobias Koch, Gonzalo Vazquez-Vilar
http://arxiv.org/abs/1904.10442v1
• [cs.IT]Steane-Enlargement of Quantum Codes from the Hermitian Curve
René Bødker Christensen, Olav Geil
http://arxiv.org/abs/1904.10007v1
• [cs.IT]Sublinear-Time Non-Adaptive Group Testing with $O(k \log n)$ Tests via Bit-Mixing Coding
Steffen Bondorf, Binbin Chen, Jonathan Scarlett, Haifeng Yu, Yuda Zhao
http://arxiv.org/abs/1904.10102v1
• [cs.LG]Bounds in Query Learning
Hunter Chase, James Freitag
http://arxiv.org/abs/1904.10122v1
• [cs.LG]CPM-sensitive AUC for CTR prediction
Zhaocheng Liu, Guangxue Yin
http://arxiv.org/abs/1904.10272v1
• [cs.LG]DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen, Tian Gao, Mo Yu
http://arxiv.org/abs/1904.10098v1
• [cs.LG]Distributed Differentially Private Computation of Functions with Correlated Noise
Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate
http://arxiv.org/abs/1904.10059v1
• [cs.LG]End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets
Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit, Taufiq Hasan, Mohammed Imamul Hassan Bhuiyan
http://arxiv.org/abs/1904.10255v1
• [cs.LG]Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data
Xiang Gao, Wei Hu, Zongming Guo
http://arxiv.org/abs/1904.10146v1
• [cs.LG]Gender specific and Age dependent classification model for improved diagnosis in Parkinson’s disease
Ujjwal Gupta, Hritik Bansal, Deepak Joshi
http://arxiv.org/abs/1904.09651v2
• [cs.LG]Generated Loss, Augmented Training, and Multiscale VAE
Jason Chou, Gautam Hathi
http://arxiv.org/abs/1904.10446v1
• [cs.LG]GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
http://arxiv.org/abs/1904.09981v1
• [cs.LG]Identifying cross country skiing techniques using power meters in ski poles
Moa Johansson, Marie Korneliusson, Nickey Lizbat Lawrence
http://arxiv.org/abs/1904.10359v1
• [cs.LG]Improving benchmarks for autonomous vehicles testing using synthetically generated images
Aleksander Lukashou
http://arxiv.org/abs/1904.10261v1
• [cs.LG]Latent Variable Algorithms for Multimodal Learning and Sensor Fusion
Lijiang Guo
http://arxiv.org/abs/1904.10450v1
• [cs.LG]Learning Feature Sparse Principal Components
Lai Tian, Feiping Nie, Xuelong Li
http://arxiv.org/abs/1904.10155v1
• [cs.LG]Multiview Hessian Regularization for Image Annotation
Weifeng Liu, Dacheng Tao
http://arxiv.org/abs/1904.10100v1
• [cs.LG]Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning
Erwan Lecarpentier, Emmanuel Rachelson
http://arxiv.org/abs/1904.10090v1
• [cs.LG]Non-convex Penalty for Tensor Completion and Robust PCA
Tao Li, Jinwen Ma
http://arxiv.org/abs/1904.10165v1
• [cs.LG]Quaternion Knowledge Graph Embedding
Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
http://arxiv.org/abs/1904.10281v1
• [cs.LG]Read classification using semi-supervised deep learning
Tomislav Šebrek, Jan Tomljanović, Josip Krapac, Mile Šikić
http://arxiv.org/abs/1904.10353v1
• [cs.LG]Relevant feature extraction for statistical inference
Cédric Bény
http://arxiv.org/abs/1904.10387v1
• [cs.LG]Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar
http://arxiv.org/abs/1904.10120v1
• [cs.LG]Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention
John Brandt
http://arxiv.org/abs/1904.10130v1
• [cs.LG]Statistical Learning and Estimation of Piano Fingering
Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii
http://arxiv.org/abs/1904.10237v1
• [cs.LG]Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure
Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang
http://arxiv.org/abs/1904.10112v1
• [cs.LG]The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang
http://arxiv.org/abs/1904.10079v1
• [cs.LG]Wasserstein-Fisher-Rao Document Distance
Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao
http://arxiv.org/abs/1904.10294v1
• [cs.MS]A Flexible Framework for Parallel Multi-Dimensional DFTs
Doru Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low
http://arxiv.org/abs/1904.10119v1
• [cs.MS]Big Math and the One-Brain Barrier A Position Paper and Architecture Proposal
Jacques Carette, William M. Farmer, Michael Kohlhase, Florian Rabe
http://arxiv.org/abs/1904.10405v1
• [cs.NE]Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Róbert Csordás, Jürgen Schmidhuber
http://arxiv.org/abs/1904.10278v1
• [cs.NI]Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization
Shing-Jiuan Liu, Ronald Y. Chang, Feng-Tsun Chien
http://arxiv.org/abs/1904.10154v1
• [cs.NI]Benefits of Coding on Age of Information in Broadcast Networks
Xingran Chen, Shirin Saeedi Bidokhti
http://arxiv.org/abs/1904.10077v1
• [cs.NI]Discharged Payment Channels: Quantifying the Lightning Network’s Resilience to Topology-Based Attacks
Elias Rohrer, Julian Malliaris, Florian Tschorsch
http://arxiv.org/abs/1904.10253v1
• [cs.RO]Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)
Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani
http://arxiv.org/abs/1904.10066v1
• [cs.RO]Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
Tianyu Shi, Pin Wang, Xuxin Cheng, Ching-Yao Chan
http://arxiv.org/abs/1904.10171v1
• [cs.RO]Estimating Forces of Robotic Pouring Using a LSTM RNN
Kyle Mott
http://arxiv.org/abs/1904.09980v1
• [cs.RO]Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles
Songlin Xu, Jiacheng Zhu
http://arxiv.org/abs/1904.10176v1
• [cs.RO]Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
Sergey Zagoruyko, Yann Labbé, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic
http://arxiv.org/abs/1904.10348v1
• [cs.SE]Risk Structures: Towards Engineering Risk-aware Autonomous Systems
Mario Gleirscher
http://arxiv.org/abs/1904.10386v1
• [cs.SI]Link Prediction in Multiplex Networks based on Interlayer Similarity
Shaghayegh Najari, Mostafa Salehi, Vahid Ranjbar, Mahdi Jalili
http://arxiv.org/abs/1904.10169v1
• [eess.IV]A new Edge Detector Based on Parametric Surface Model: Regression Surface Descriptor
Rémi Cogranne, Rémi Slysz, Laurence Moreau, Houman Borouchaki
http://arxiv.org/abs/1904.10235v1
• [eess.IV]Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks
Davood Karimi, Septimiu E. Salcudean
http://arxiv.org/abs/1904.10030v1
• [math.OC]Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence
Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy
http://arxiv.org/abs/1904.10020v1
• [math.ST]On the Kullback-Leibler divergence between location-scale densities
Frank Nielsen
http://arxiv.org/abs/1904.10428v1
• [math.ST]Seasonal FIEGARCH Processes
Sílvia Regina Costa Lopes, Taiane Schaedler Prass
http://arxiv.org/abs/1904.10114v1
• [physics.chem-ph]A survey on Big Data and Machine Learning for Chemistry
Jose F Rodrigues Jr, Larisa Florea, Maria C F de Oliveira, Dermot Diamond, Osvaldo N Oliveira Jr
http://arxiv.org/abs/1904.10370v1
• [physics.soc-ph]Identification of intrinsic long-range degree correlations in complex networks
Yuka Fujiki, Kousuke Yakubo
http://arxiv.org/abs/1904.10148v1
• [q-bio.GN]MinCall - MinION end2end convolutional deep learning basecaller
Neven Miculinić, Marko Ratković, Mile Šikić
http://arxiv.org/abs/1904.10337v1
• [q-bio.NC]Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits
Lili Su, Chia-Jung Chang, Nancy Lynch
http://arxiv.org/abs/1904.10399v1
• [q-bio.TO]Can fallopian tube anatomy predict pregnancy and pregnancy outcomes after tubal reversal surgery?
Rafael S. de Souza, Gary S. Berger
http://arxiv.org/abs/1904.10398v1
• [q-fin.ST]Copula estimation for nonsynchronous financial data
Arnab Chakrabarti, Rituparna Sen
http://arxiv.org/abs/1904.10182v1
• [quant-ph]$α$-Logarithmic negativity
Xin Wang, Mark M. Wilde
http://arxiv.org/abs/1904.10437v1
• [quant-ph]Quantum boomerang capacity
Siddhartha Das, Mark M. Wilde
http://arxiv.org/abs/1904.10344v1
• [stat.AP]Amazon Forest Fires Between 2001 and 2006 and Birth Weight in Porto Velho
Taiane Schaedler Prass, Sílvia Regina Costa Lopes, José G. Dórea, Rejane C. Marques, Katiane G. Brandão
http://arxiv.org/abs/1904.10118v1
• [stat.AP]How Many Customers Does a Retail Chain Have?
Ondřej Sokol, Vladimír Holý
http://arxiv.org/abs/1904.10199v1
• [stat.AP]Identifying Precipitation Regimes in China Using Model-Based Clustering of Spatial Functional Data
Haozhe Zhang, Zhengyuan Zhu, Shuiqing Yin
http://arxiv.org/abs/1904.10152v1
• [stat.CO]ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in {R}
Antonio Calcagnì, Massimiliano Pastore, Gianmarco Altoè
http://arxiv.org/abs/1904.10172v1
• [stat.ME]A distribution-free smoothed combination method of biomarkers to improve diagnostic accuracy in multi-category classification
Raju Maiti, Jialiang Li, Priyam Das, Lei Feng, Derek Hausenloy, Bibhas Chakraborty
http://arxiv.org/abs/1904.10046v1
• [stat.ME]Deep Learning for Survival Outcomes
Jon Arni Steingrimsson
http://arxiv.org/abs/1904.10345v1
• [stat.ME]Exponential Random Graph models for Little Networks
George G. Vega Yon, Kayla de la Haye
http://arxiv.org/abs/1904.10406v1
• [stat.ME]From one environment to many: The problem of replicability of statistical inferences
James J. Higgins, Michael J. Higgins, Jinguang Lin
http://arxiv.org/abs/1904.10036v1
• [stat.ME]Heterofusion: Fusing genomics data of different measurement scales
Age K. Smilde, Yipeng Song, Johan A. Westerhuis, Henk A. L. Kiers, Nanne Aben, Lodewyk F. A. Wessels
http://arxiv.org/abs/1904.10279v1
• [stat.ME]Model based functional clustering of varved lake sediments
Per Arnqvist, Sara Sjöstedt de Luna
http://arxiv.org/abs/1904.10265v1
• [stat.ML]Regression-Enhanced Random Forests
Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu
http://arxiv.org/abs/1904.10416v1