astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nucl-th - 核理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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
• [astro-ph.IM]Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes
• [astro-ph.IM]deepCR: Cosmic Ray Rejection with Deep Learning
• [cs.AI]About epistemic negation and world views in Epistemic Logic Programs
• [cs.AI]Beyond NP: Quantifying over Answer Sets
• [cs.AI]E-HBA: Using Action Policies for Expert Advice and Agent Typification
• [cs.AI]Heuristic solutions to robust variants of the minimum-cost integer flow problem
• [cs.AI]On the Equivalence Between Abstract Dialectical Frameworks and Logic Programs
• [cs.AI]The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving
• [cs.CL]Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
• [cs.CL]EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
• [cs.CL]Happiness Entailment: Automating Suggestions for Well-Being
• [cs.CL]Learning to Select, Track, and Generate for Data-to-Text
• [cs.CL]Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
• [cs.CL]Modeling question asking using neural program generation
• [cs.CL]On Modeling ASR Word Confidence
• [cs.CL]Overview and Results: CL-SciSumm Shared Task 2019
• [cs.CL]Position Focused Attention Network for Image-Text Matching
• [cs.CL]Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
• [cs.CL]Structured Fusion Networks for Dialog
• [cs.CL]Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
• [cs.CV]2D-CTC for Scene Text Recognition
• [cs.CV]A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos
• [cs.CV]Adaptive Compression-based Lifelong Learning
• [cs.CV]An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data
• [cs.CV]Automatic detection of multiple pathologies in fundus photographs using spin-off learning
• [cs.CV]BMN: Boundary-Matching Network for Temporal Action Proposal Generation
• [cs.CV]Bayesian Zero-Shot Learning
• [cs.CV]Canonical Surface Mapping via Geometric Cycle Consistency
• [cs.CV]ChromaGAN: An Adversarial Approach for Picture Colorization
• [cs.CV]Compact Global Descriptor for Neural Networks
• [cs.CV]Controlling biases and diversity in diverse image-to-image translation
• [cs.CV]Deep Temporal Analysis for Non-Acted Body Affect Recognition
• [cs.CV]Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
• [cs.CV]Deformable Registration Using Average Geometric Transformations for Brain MR Images
• [cs.CV]Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
• [cs.CV]Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
• [cs.CV]Exploring Semantic Segmentation on the DCT Representation
• [cs.CV]Few-shot Learning for Domain-specfic Fine-grained Image Classfication
• [cs.CV]From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations
• [cs.CV]GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
• [cs.CV]Graph Reasoning Networks for Visual Question Answering
• [cs.CV]Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
• [cs.CV]Highlight Every Step: Knowledge Distillation via Collaborative Teaching
• [cs.CV]Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
• [cs.CV]Information-Bottleneck Approach to Salient Region Discovery
• [cs.CV]Invertible Network for Classification and Biomarker Selection for ASD
• [cs.CV]LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
• [cs.CV]Learning High-fidelity Light Field Images From Hybrid Inputs
• [cs.CV]Make Skeleton-based Action Recognition Model Smaller, Faster and Better
• [cs.CV]MixNet: Mixed Depthwise Convolutional Kernels
• [cs.CV]NPSA: Nonorthogonal Principal Skewness Analysis
• [cs.CV]Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
• [cs.CV]PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds
• [cs.CV]Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
• [cs.CV]RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
• [cs.CV]Real-Time Correlation Tracking via Joint Model Compression and Transfer
• [cs.CV]Shared Generative Latent Representation Learning for Multi-view Clustering
• [cs.CV]Similarity-Preserving Knowledge Distillation
• [cs.CV]Temporally Consistent Horizon Lines
• [cs.CV]The Effect of Visual Design in Image Classification
• [cs.CV]Trading via Image Classification
• [cs.CV]U4D: Unsupervised 4D Dynamic Scene Understanding
• [cs.CV]Universal Person Re-Identification
• [cs.CV]xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
• [cs.CY]Computing Lens for Exploring the Historical People’s Social Network
• [cs.DB]Association rule mining and itemset-correlation based variants
• [cs.DC]A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures
• [cs.DC]Using Model Checking to Formally Verify Rendezvous Algorithms for Robots with Lights in Euclidean Space
• [cs.ET]Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility
• [cs.GR]A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
• [cs.GT]Low-Variance and Zero-Variance Baselines for Extensive-Form Games
• [cs.HC]Eye-based Continuous Affect Prediction
• [cs.HC]Speech, Head, and Eye-based Cues for Continuous Affect Prediction
• [cs.IR]Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
• [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
• [cs.IT]Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis
• [cs.IT]Deep Learning Assisted User Identification in Massive Machine-Type Communications
• [cs.IT]Federated Learning over Wireless Fading Channels
• [cs.IT]Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
• [cs.IT]Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization
• [cs.IT]Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond
• [cs.IT]Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
• [cs.IT]Steganography Protocols for Quantum Channels
• [cs.IT]Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes
• [cs.LG]A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
• [cs.LG]Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
• [cs.LG]Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
• [cs.LG]BEHRT: Transformer for Electronic Health Records
• [cs.LG]BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
• [cs.LG]Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
• [cs.LG]Characterizing Attacks on Deep Reinforcement Learning
• [cs.LG]Convolutional Dictionary Learning in Hierarchical Networks
• [cs.LG]Decentralized Stochastic First-Order Methods for Large-scale Machine Learning
• [cs.LG]Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
• [cs.LG]Design of one-year mortality forecast at hospital admission based: a machine learning approach
• [cs.LG]Doubly robust off-policy evaluation with shrinkage
• [cs.LG]Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center
• [cs.LG]Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
• [cs.LG]Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine
• [cs.LG]Interpretable and Steerable Sequence Learning via Prototypes
• [cs.LG]IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
• [cs.LG]MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
• [cs.LG]Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
• [cs.LG]Practical Newton-Type Distributed Learning using Gradient Based Approximations
• [cs.LG]Relational Generalized Few-Shot Learning
• [cs.LG]Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
• [cs.LG]Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
• [cs.LG]Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
• [cs.LG]Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
• [cs.LG]Trainability and Data-dependent Initialization of Over-parameterized ReLU Neural Networks
• [cs.LG]Variance Reduction in Actor Critic Methods (ACM)
• [cs.LO]Better Paracoherent Answer Sets with Less Resources
• [cs.NE]A Simple Yet Effective Approach to Robust Optimization Over Time
• [cs.NE]Metalearned Neural Memory
• [cs.RO]An extended framework for characterizing social robots
• [cs.RO]Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
• [cs.RO]Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture
• [cs.RO]Differentiable Gaussian Process Motion Planning
• [cs.RO]Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism
• [cs.RO]Grasping Using Tactile Sensing and Deep Calibration
• [cs.RO]Hidden Markov Models derived from Behavior Trees
• [cs.RO]LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
• [cs.RO]Multilevel Monte-Carlo for Solving POMDPs Online
• [cs.RO]Multisensory Learning Framework for Robot Drumming
• [cs.RO]Towards Courteous Behavior and Trajectory Planning for Automated Driving
• [cs.SD]Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
• [cs.SI]Efficient Approximation Algorithms for Adaptive Seed Minimization
• [cs.SI]Understanding the Political Ideology of Legislators from Social Media Images
• [eess.IV]Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
• [eess.IV]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
• [eess.IV]Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
• [eess.IV]Variational Registration of Multiple Images with the SVD based SqN Distance Measure
• [eess.IV]Whole-Sample Mapping of Cancerous and Benign Tissue Properties
• [eess.SP]A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing
• [eess.SP]A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
• [eess.SP]An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
• [math.OC]Heavy-ball Algorithms Always Escape Saddle Points
• [math.OC]Stochastic algorithms with geometric step decay converge linearly on sharp functions
• [math.PR]Stochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data
• [math.ST]Asymptotic normality, concentration, and coverage of generalized posteriors
• [math.ST]Consistent model selection criteria and goodness-of-fit test for affine causal processes
• [math.ST]Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations
• [math.ST]Minimax rates in sparse, high-dimensional changepoint detection
• [math.ST]Multiple block sizes and overlapping blocks for multivariate time series extremes
• [nucl-th]Trees and Islands — Machine learning approach to nuclear physics
• [physics.soc-ph]Fundamental Structures in Dynamic Communication Networks
• [q-bio.NC]Temporal connection signatures of human brain networks after stroke
• [stat.AP]An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection
• [stat.AP]Bayesian inference for network Poisson models
• [stat.AP]Coupling material and mechanical design processes via computer model calibration
• [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
• [stat.CO]Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
• [stat.ME]An ordinal measure of interrater absolute agreement
• [stat.ME]Classification with the matrix-variate-$t$ distribution
• [stat.ME]Doubts on the efficacy of outliers correction methods
• [stat.ME]Factor Analysis for High-Dimensional Time Series with Change Point
• [stat.ME]On estimation of the effect lag of predictors and prediction in functional linear model
• [stat.ME]Postprocessing seasonal weather forecasts
• [stat.ML]Bayesian Inference with Generative Adversarial Network Priors
• [stat.ML]Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
• [stat.ML]Node Attribute Generation on Graphs
• [stat.ML]Off-policy Learning for Multiple Loggers
• [stat.ML]VARENN: Graphical representation of spatiotemporal data and application to climate studies
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• [astro-ph.IM]Genetic Algorithms for Starshade Retargeting in Space-Based Telescopes
Ho Chit Siu, Victor Pankratius
http://arxiv.org/abs/1907.09789v1
• [astro-ph.IM]deepCR: Cosmic Ray Rejection with Deep Learning
Keming Zhang, Joshua S. Bloom
http://arxiv.org/abs/1907.09500v1
• [cs.AI]About epistemic negation and world views in Epistemic Logic Programs
Stefania Costantini
http://arxiv.org/abs/1907.09867v1
• [cs.AI]Beyond NP: Quantifying over Answer Sets
Giovanni Amendola, Francesco Ricca, Mirek Truszczynski
http://arxiv.org/abs/1907.09559v1
• [cs.AI]E-HBA: Using Action Policies for Expert Advice and Agent Typification
Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
http://arxiv.org/abs/1907.09810v1
• [cs.AI]Heuristic solutions to robust variants of the minimum-cost integer flow problem
Marko Špoljarec, Robert Manger
http://arxiv.org/abs/1907.09468v1
• [cs.AI]On the Equivalence Between Abstract Dialectical Frameworks and Logic Programs
João Alcântara, Samy Sá, Juan Acosta-Guadarrama
http://arxiv.org/abs/1907.09548v1
• [cs.AI]The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
http://arxiv.org/abs/1907.09620v1
• [cs.CL]Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Boyuan Pan, Yazheng Yang, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He
http://arxiv.org/abs/1907.09692v1
• [cs.CL]EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification
Linkai Luo, Yue Wang
http://arxiv.org/abs/1907.09669v1
• [cs.CL]Happiness Entailment: Automating Suggestions for Well-Being
Sara Evensen, Yoshihiko Suhara, Alon Halevy, Vivian Li, Wang-Chiew Tan, Saran Mumick
http://arxiv.org/abs/1907.10036v1
• [cs.CL]Learning to Select, Track, and Generate for Data-to-Text
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura
http://arxiv.org/abs/1907.09699v1
• [cs.CL]Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Vrindavan Harrison, Lena Reed, Shereen Oraby, Marilyn Walker
http://arxiv.org/abs/1907.09527v1
• [cs.CL]Modeling question asking using neural program generation
Ziyun Wang, Brenden M. Lake
http://arxiv.org/abs/1907.09899v1
• [cs.CL]On Modeling ASR Word Confidence
Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy
http://arxiv.org/abs/1907.09636v1
• [cs.CL]Overview and Results: CL-SciSumm Shared Task 2019
Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev, Dayne Freitag, Min-Yen Kan
http://arxiv.org/abs/1907.09854v1
• [cs.CL]Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan
http://arxiv.org/abs/1907.09748v1
• [cs.CL]Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy, Dan Klein
http://arxiv.org/abs/1907.09671v1
• [cs.CL]Structured Fusion Networks for Dialog
Shikib Mehri, Tejas Srinivasan, Maxine Eskenazi
http://arxiv.org/abs/1907.10016v1
• [cs.CL]Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
Satoru Katsumata, Mamoru Komachi
http://arxiv.org/abs/1907.09724v1
• [cs.CV]2D-CTC for Scene Text Recognition
Zhaoyi Wan, Fengming Xie, Yibo Liu, Xiang Bai, Cong Yao
http://arxiv.org/abs/1907.09705v1
• [cs.CV]A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos
Tal Hakim, Ilan Shimshoni
http://arxiv.org/abs/1907.10004v1
• [cs.CV]Adaptive Compression-based Lifelong Learning
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia
http://arxiv.org/abs/1907.09695v1
• [cs.CV]An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data
Zhongming Xiang, Abbas Rashidi, Ge, Ou
http://arxiv.org/abs/1907.09997v1
• [cs.CV]Automatic detection of multiple pathologies in fundus photographs using spin-off learning
Gwenolé Quellec, Mathieu Lamard, Pierre-Henri Conze, Pascale Massin, Béatrice Cochener
http://arxiv.org/abs/1907.09449v2
• [cs.CV]BMN: Boundary-Matching Network for Temporal Action Proposal Generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen
http://arxiv.org/abs/1907.09702v1
• [cs.CV]Bayesian Zero-Shot Learning
Sarkhan Badirli, Murat Dundar, Zeynep Akata
http://arxiv.org/abs/1907.09624v1
• [cs.CV]Canonical Surface Mapping via Geometric Cycle Consistency
Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani
http://arxiv.org/abs/1907.10043v1
• [cs.CV]ChromaGAN: An Adversarial Approach for Picture Colorization
Patricia Vitoria, Lara Raad, Coloma Ballester
http://arxiv.org/abs/1907.09837v1
• [cs.CV]Compact Global Descriptor for Neural Networks
Xiangyu He, Ke Cheng, Qiang Chen, Qinghao Hu, Peisong Wang, Jian Cheng
http://arxiv.org/abs/1907.09665v1
• [cs.CV]Controlling biases and diversity in diverse image-to-image translation
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz
http://arxiv.org/abs/1907.09754v1
• [cs.CV]Deep Temporal Analysis for Non-Acted Body Affect Recognition
Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano Massaroni
http://arxiv.org/abs/1907.09945v1
• [cs.CV]Deep-SLAM++: Object-level RGBD SLAM based on class-specific deep shape priors
Lan Hu, Wanting Xu, Kun Huang, Laurent Kneip
http://arxiv.org/abs/1907.09691v1
• [cs.CV]Deformable Registration Using Average Geometric Transformations for Brain MR Images
Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan
http://arxiv.org/abs/1907.09670v1
• [cs.CV]Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo F. Berriel, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos
http://arxiv.org/abs/1907.09679v1
• [cs.CV]Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
Haijun Liu, Jian Cheng
http://arxiv.org/abs/1907.09659v1
• [cs.CV]Exploring Semantic Segmentation on the DCT Representation
Shao-Yuan Lo, Hsueh-Ming Hang
http://arxiv.org/abs/1907.10015v1
• [cs.CV]Few-shot Learning for Domain-specfic Fine-grained Image Classfication
Xin Sun, Hongwei Xv, Junyu Dong, Qiong Li, Changrui Chen
http://arxiv.org/abs/1907.09647v1
• [cs.CV]From Active Contours to Minimal Geodesic Paths: New Solutions to Active Contours Problems by Eikonal Equations
Da Chen, Laurent D. Cohen
http://arxiv.org/abs/1907.09828v1
• [cs.CV]GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
Fangneng Zhan, Chuhui Xue, Shijian Lu
http://arxiv.org/abs/1907.09653v1
• [cs.CV]Graph Reasoning Networks for Visual Question Answering
Dalu Guo, Chang Xu, Dacheng Tao
http://arxiv.org/abs/1907.09815v1
• [cs.CV]Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
Chenyang Lu, Gijs Dubbelman
http://arxiv.org/abs/1907.09786v1
• [cs.CV]Highlight Every Step: Knowledge Distillation via Collaborative Teaching
Haoran Zhao, Xin Sun, Junyu Dong, Changrui Chen, Zihe Dong
http://arxiv.org/abs/1907.09643v1
• [cs.CV]Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito, Kris Kitani
http://arxiv.org/abs/1907.10008v1
• [cs.CV]Information-Bottleneck Approach to Salient Region Discovery
Andrey Zhmoginov, Ian Fischer, Mark Sandler
http://arxiv.org/abs/1907.09578v1
• [cs.CV]Invertible Network for Classification and Biomarker Selection for ASD
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
http://arxiv.org/abs/1907.09729v1
• [cs.CV]LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
Samuel Yu, Heon Lee, John Kim
http://arxiv.org/abs/1907.09706v1
• [cs.CV]Learning High-fidelity Light Field Images From Hybrid Inputs
Jing Jin, Junhui Hou, Jie Chen, Sam Kwong, Jingyi Yu
http://arxiv.org/abs/1907.09640v1
• [cs.CV]Make Skeleton-based Action Recognition Model Smaller, Faster and Better
Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura
http://arxiv.org/abs/1907.09658v1
• [cs.CV]MixNet: Mixed Depthwise Convolutional Kernels
Mingxing Tan, Quoc V. Le
http://arxiv.org/abs/1907.09595v1
• [cs.CV]NPSA: Nonorthogonal Principal Skewness Analysis
Xiurui Geng, Lei Wang
http://arxiv.org/abs/1907.09811v1
• [cs.CV]Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
Hyeonwoo Yu, Beomhee Lee
http://arxiv.org/abs/1907.09760v1
• [cs.CV]PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds
Liang Pan, Chee-Meng Chew, Gim Hee Lee
http://arxiv.org/abs/1907.09798v1
• [cs.CV]Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan Turaga
http://arxiv.org/abs/1907.09554v1
• [cs.CV]RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
http://arxiv.org/abs/1907.09707v1
• [cs.CV]Real-Time Correlation Tracking via Joint Model Compression and Transfer
Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Houqiang Li
http://arxiv.org/abs/1907.09831v1
• [cs.CV]Shared Generative Latent Representation Learning for Multi-view Clustering
Ming Yin, Weitian Huang, Junbin Gao
http://arxiv.org/abs/1907.09747v1
• [cs.CV]Similarity-Preserving Knowledge Distillation
Frederick Tung, Greg Mori
http://arxiv.org/abs/1907.09682v1
• [cs.CV]Temporally Consistent Horizon Lines
Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
http://arxiv.org/abs/1907.10014v1
• [cs.CV]The Effect of Visual Design in Image Classification
Naftali Cohen, Tucker Balch, Manuela Veloso
http://arxiv.org/abs/1907.09567v1
• [cs.CV]Trading via Image Classification
Naftali Cohen, Tucker Balch, Manuela Veloso
http://arxiv.org/abs/1907.10046v1
• [cs.CV]U4D: Unsupervised 4D Dynamic Scene Understanding
Armin Mustafa, Chris Russell, Adrian Hilton
http://arxiv.org/abs/1907.09905v1
• [cs.CV]Universal Person Re-Identification
Xu Lan, Xiatian Zhu, Shaogang Gong
http://arxiv.org/abs/1907.09511v1
• [cs.CV]xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera
Denis Tome, Patrick Peluse, Lourdes Agapito, Hernan Badino
http://arxiv.org/abs/1907.10045v1
• [cs.CY]Computing Lens for Exploring the Historical People’s Social Network
Junjie Huang, Tiejian Luo
http://arxiv.org/abs/1907.09745v1
• [cs.DB]Association rule mining and itemset-correlation based variants
Niels Mündler
http://arxiv.org/abs/1907.09535v1
• [cs.DC]A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures
Ancy Sarah Tom, George Karypis
http://arxiv.org/abs/1907.09575v1
• [cs.DC]Using Model Checking to Formally Verify Rendezvous Algorithms for Robots with Lights in Euclidean Space
Xavier Défago, Adam Heriban, Sébastien Tixeuil, Koichi Wada
http://arxiv.org/abs/1907.09871v1
• [cs.ET]Non-Spike Timing-Dependent Plasticity based Unsupervised Memristive Neural Networks with High Hardware Compatibility
Zhiri Tang, Yanhua Chen, Hao Wang, Jin He, Qijun Huang, Sheng Chang
http://arxiv.org/abs/1907.09126v2
• [cs.GR]A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid
http://arxiv.org/abs/1907.09642v1
• [cs.GT]Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Trevor Davis, Martin Schmid, Michael Bowling
http://arxiv.org/abs/1907.09633v1
• [cs.HC]Eye-based Continuous Affect Prediction
Jonny O’Dwyer, Niall Murray, Ronan Flynn
http://arxiv.org/abs/1907.09896v1
• [cs.HC]Speech, Head, and Eye-based Cues for Continuous Affect Prediction
Jonny O’Dwyer
http://arxiv.org/abs/1907.09919v1
• [cs.IR]Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
Dominik Kowald, Elisabeth Lex, Markus Schedl
http://arxiv.org/abs/1907.09781v1
• [cs.IT]Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
Xiaojie Wang, Chulong Liang, Li Ping, Stephan ten Brink
http://arxiv.org/abs/1907.09593v1
• [cs.IT]Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis
Amirafshar Moshtaghpour, José M. Bioucas Dias, Laurent Jacques
http://arxiv.org/abs/1907.09795v1
• [cs.IT]Deep Learning Assisted User Identification in Massive Machine-Type Communications
Bryan Liu, Zhiqiang Wei, Jinhong Yuan, Milutin Pajovic
http://arxiv.org/abs/1907.09735v1
• [cs.IT]Federated Learning over Wireless Fading Channels
Mohammad Mohammadi Amiri, Deniz Gunduz
http://arxiv.org/abs/1907.09769v1
• [cs.IT]Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor
http://arxiv.org/abs/1907.09674v1
• [cs.IT]Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization
Hanxu Hou, Patrick P. C. Lee, Yunghsiang S. Han
http://arxiv.org/abs/1907.08938v2
• [cs.IT]Non-Orthogonal Multiple Access (NOMA): How It Meets 5G and Beyond
S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre, Kyung-Sup Kwak
http://arxiv.org/abs/1907.10001v1
• [cs.IT]Some Results on Tighter Bayesian Lower Bounds on the Mean-Square Error
Lucien Bacharach, Carsten Fritsche, Umut Orguner, Eric Chaumette
http://arxiv.org/abs/1907.09509v1
• [cs.IT]Steganography Protocols for Quantum Channels
Mehrdad Tahmasbi, Matthieu Bloch
http://arxiv.org/abs/1907.09602v1
• [cs.IT]Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes
Anu Jagannath, Jithin Jagannath, Andrew Drozd
http://arxiv.org/abs/1907.09545v1
• [cs.LG]A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
http://arxiv.org/abs/1907.09844v1
• [cs.LG]Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Junghee Cho, Junseok Kwon, Byung-Woo Hong
http://arxiv.org/abs/1907.09750v1
• [cs.LG]Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
http://arxiv.org/abs/1907.08971v2
• [cs.LG]BEHRT: Transformer for Electronic Health Records
Yikuan Li, Shishir Rao, Jose Roberto Ayala Solares, Abdelaali Hassaine, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi-Khorshidi
http://arxiv.org/abs/1907.09538v1
• [cs.LG]BIM: Towards Quantitative Evaluation of Interpretability Methods with Ground Truth
Mengjiao Yang, Been Kim
http://arxiv.org/abs/1907.09701v1
• [cs.LG]Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
Zhenwei Dai, Reinhard Heckel
http://arxiv.org/abs/1907.09539v1
• [cs.LG]Characterizing Attacks on Deep Reinforcement Learning
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Bo Li, Dawn Song
http://arxiv.org/abs/1907.09470v1
• [cs.LG]Convolutional Dictionary Learning in Hierarchical Networks
Javier Zazo, Bahareh Tolooshams, Demba Ba
http://arxiv.org/abs/1907.09881v1
• [cs.LG]Decentralized Stochastic First-Order Methods for Large-scale Machine Learning
Ran Xin, Soummya Kar, Usman A. Khan
http://arxiv.org/abs/1907.09648v1
• [cs.LG]Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Siqi Liu, Kee Yuan Ngiam, Mengling Feng
http://arxiv.org/abs/1907.09475v1
• [cs.LG]Design of one-year mortality forecast at hospital admission based: a machine learning approach
Vicent Blanes-Selva, Vicente Ruiz-García, Salvador Tortajada, José-Miguel Benedí, Bernardo Valdivieso, Juan M. García-Gómez
http://arxiv.org/abs/1907.09474v1
• [cs.LG]Doubly robust off-policy evaluation with shrinkage
Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
http://arxiv.org/abs/1907.09623v1
• [cs.LG]Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center
Lorenzo A. Rossi, Chad Shawber, Janet Munu, Finly Zachariah
http://arxiv.org/abs/1907.09600v1
• [cs.LG]Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Qinbin Li, Zeyi Wen, Bingsheng He
http://arxiv.org/abs/1907.09693v1
• [cs.LG]Incremental and Decremental Fuzzy Bounded Twin Support Vector Machine
Alexandre Reeberg de Mello, Marcelo Ricardo Stemmer, Alessandro Lameiras Koerich
http://arxiv.org/abs/1907.09613v1
• [cs.LG]Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming, Panpan Xu, Huamin Qu, Liu Ren
http://arxiv.org/abs/1907.09728v1
• [cs.LG]IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification
Lin Meng, Jiawei Zhang
http://arxiv.org/abs/1907.09495v1
• [cs.LG]MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Peiye Liu, Bo Wu, Huadong Ma, Pavan Kumar Chundi, Mingoo Seok
http://arxiv.org/abs/1907.09569v1
• [cs.LG]Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou
http://arxiv.org/abs/1907.09471v1
• [cs.LG]Practical Newton-Type Distributed Learning using Gradient Based Approximations
Samira Sheikhi
http://arxiv.org/abs/1907.09562v1
• [cs.LG]Relational Generalized Few-Shot Learning
Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling
http://arxiv.org/abs/1907.09557v1
• [cs.LG]Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
Fatemeh Hadaeghi
http://arxiv.org/abs/1907.09504v1
• [cs.LG]Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
http://arxiv.org/abs/1907.09607v1
• [cs.LG]Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
Adrian Albert, Jasleen Kaur, Emanuele Strano, Marta Gonzalez
http://arxiv.org/abs/1907.09543v1
• [cs.LG]Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
http://arxiv.org/abs/1907.09615v1
• [cs.LG]Trainability and Data-dependent Initialization of Over-parameterized ReLU Neural Networks
Yeonjong Shin, George Em Karniadakis
http://arxiv.org/abs/1907.09696v1
• [cs.LG]Variance Reduction in Actor Critic Methods (ACM)
Eric Benhamou
http://arxiv.org/abs/1907.09765v1
• [cs.LO]Better Paracoherent Answer Sets with Less Resources
Giovanni Amendola, Carmine Dodaro, Francesco Ricca
http://arxiv.org/abs/1907.09560v1
• [cs.NE]A Simple Yet Effective Approach to Robust Optimization Over Time
Lukáš Adam, Xin Yao
http://arxiv.org/abs/1907.09248v2
• [cs.NE]Metalearned Neural Memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
http://arxiv.org/abs/1907.09720v1
• [cs.RO]An extended framework for characterizing social robots
Kim Baraka, Patrícia Alves-Oliveira, Tiago Ribeiro
http://arxiv.org/abs/1907.09873v1
• [cs.RO]Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation
Arash S. Amjadi, Mohsen Raoufi, Ali E. Turgut, George Broughton, Tomáš Krajník, Farshad Arvin
http://arxiv.org/abs/1907.09585v1
• [cs.RO]Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture
Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska
http://arxiv.org/abs/1907.09603v1
• [cs.RO]Differentiable Gaussian Process Motion Planning
Mohak Bhardwaj, Byron Boots, Mustafa Mukadam
http://arxiv.org/abs/1907.09591v1
• [cs.RO]Floating Displacement-Force Conversion Mechanism as a Robotic Mechanism
Kenjiro Tadakuma, Tori Shimizu, Sosuke Hayashi, Eri Takane, Masahiro Watanabe, Masashi Konyo, Satoshi Tadokoro
http://arxiv.org/abs/1907.09955v1
• [cs.RO]Grasping Using Tactile Sensing and Deep Calibration
Masoud Baghbahari, Aman Behal
http://arxiv.org/abs/1907.09656v1
• [cs.RO]Hidden Markov Models derived from Behavior Trees
Blake Hannaford
http://arxiv.org/abs/1907.10029v1
• [cs.RO]LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
http://arxiv.org/abs/1907.09574v1
• [cs.RO]Multilevel Monte-Carlo for Solving POMDPs Online
Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
http://arxiv.org/abs/1907.09673v1
• [cs.RO]Multisensory Learning Framework for Robot Drumming
A. Barsky, C. Zito, H. Mori, T. Ogata, J. L. Wyatt
http://arxiv.org/abs/1907.09775v1
• [cs.RO]Towards Courteous Behavior and Trajectory Planning for Automated Driving
Oliver Speidel, Maximilian Graf, Thanh Phan-Huu, Klaus Dietmayer
http://arxiv.org/abs/1907.09825v1
• [cs.SD]Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen
http://arxiv.org/abs/1907.09884v1
• [cs.SI]Efficient Approximation Algorithms for Adaptive Seed Minimization
Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
http://arxiv.org/abs/1907.09668v1
• [cs.SI]Understanding the Political Ideology of Legislators from Social Media Images
Nan Xi, Di Ma, Marcus Liou, Zachary C. Steinert-Threlkeld, Jason Anastasopoulos, Jungseock Joo
http://arxiv.org/abs/1907.09594v1
• [eess.IV]Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David Snead, Nasir M. Rajpoot
http://arxiv.org/abs/1907.09478v1
• [eess.IV]Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images
Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert
http://arxiv.org/abs/1907.09983v1
• [eess.IV]Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach
Hongming Shan, Ge Wang, Yang Yang
http://arxiv.org/abs/1907.09951v1
• [eess.IV]Variational Registration of Multiple Images with the SVD based SqN Distance Measure
Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki
http://arxiv.org/abs/1907.09732v1
• [eess.IV]Whole-Sample Mapping of Cancerous and Benign Tissue Properties
Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Michael Shaw, Amir Gander, Brian Davidson, Delmiro Fernandez-Reyes, Vijay Pawar, Danail Stoyanov
http://arxiv.org/abs/1907.09974v1
• [eess.SP]A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing
Shuo-An Huang, Chia-Hsiang Yang
http://arxiv.org/abs/1907.09916v1
• [eess.SP]A Learning-Based Two-Stage Spectrum Sharing Strategy with Multiple Primary Transmit Power Levels
Rui Zhang, Peng Cheng, Zhuo Chen, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1907.09949v1
• [eess.SP]An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
Mingjin Wang, Feifei Gao, Shi Jin, Hai Lin
http://arxiv.org/abs/1907.09944v1
• [math.OC]Heavy-ball Algorithms Always Escape Saddle Points
Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
http://arxiv.org/abs/1907.09697v1
• [math.OC]Stochastic algorithms with geometric step decay converge linearly on sharp functions
Damek Davis, Dmitriy Drusvyatskiy, Vasileios Charisopoulos
http://arxiv.org/abs/1907.09547v1
• [math.PR]Stochastic Tverberg theorems and their applications in multi-class logistic regression, data separability, and centerpoints of data
Jesús A. De Loera, Thomas A. Hogan
http://arxiv.org/abs/1907.09698v1
• [math.ST]Asymptotic normality, concentration, and coverage of generalized posteriors
Jeffrey W. Miller
http://arxiv.org/abs/1907.09611v1
• [math.ST]Consistent model selection criteria and goodness-of-fit test for affine causal processes
Jean-Marc Bardet, Kare Kamila, William Kengne
http://arxiv.org/abs/1907.09762v1
• [math.ST]Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations
Likun Zhang, Benjamin A. Shaby
http://arxiv.org/abs/1907.09617v1
• [math.ST]Minimax rates in sparse, high-dimensional changepoint detection
Haoyang Liu, Chao Gao, Richard J. Samworth
http://arxiv.org/abs/1907.10012v1
• [math.ST]Multiple block sizes and overlapping blocks for multivariate time series extremes
Nan Zou, Stanislav Volgushev, Axel Bücher
http://arxiv.org/abs/1907.09477v1
• [nucl-th]Trees and Islands — Machine learning approach to nuclear physics
Nishchal R. Dwivedi
http://arxiv.org/abs/1907.09764v1
• [physics.soc-ph]Fundamental Structures in Dynamic Communication Networks
Sune Lehmann
http://arxiv.org/abs/1907.09966v1
• [q-bio.NC]Temporal connection signatures of human brain networks after stroke
Catalina Obando, Charlotte Rosso, Joshua Siegel, Maurizio Corbetta, Fabrizio De Vico Fallani
http://arxiv.org/abs/1907.10009v1
• [stat.AP]An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection
Aidan Zellner, Alice M. Richardson, Brett A. Lidbury, Peter Hobson, Tony Badrick
http://arxiv.org/abs/1907.09637v1
• [stat.AP]Bayesian inference for network Poisson models
Sophie Donnet, Stéphane Robin
http://arxiv.org/abs/1907.09771v1
• [stat.AP]Coupling material and mechanical design processes via computer model calibration
Carl Ehrett, D. Andrew Brown, Evan Chodora, Christopher Kitchens, Sez Atamturktur
http://arxiv.org/abs/1907.09553v1
• [stat.AP]The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis
Hannah Roberts, Caspar van Lissa, Paulien Hagedoorn, Ian Kellar, Marco Helbich
http://arxiv.org/abs/1907.10013v1
• [stat.CO]Efficient inference for stochastic differential mixed-effects models using correlated particle pseudo-marginal algorithms
Samuel Wiqvist, Andrew Golightly, Ashleigh T. Mclean, Umberto Picchini
http://arxiv.org/abs/1907.09851v1
• [stat.ME]An ordinal measure of interrater absolute agreement
Giuseppe Bove, Pier Luigi Conti, Daniela Marella
http://arxiv.org/abs/1907.09756v1
• [stat.ME]Classification with the matrix-variate-$t$ distribution
Geoffrey Z. Thompson, Ranjan Maitra, William Q. Meeker, Ashraf Bastawros
http://arxiv.org/abs/1907.09565v1
• [stat.ME]Doubts on the efficacy of outliers correction methods
Marjorie Fonnesu, Nicola Kuczewski
http://arxiv.org/abs/1907.09864v1
• [stat.ME]Factor Analysis for High-Dimensional Time Series with Change Point
Xialu Liu, Ting Zhang
http://arxiv.org/abs/1907.09522v1
• [stat.ME]On estimation of the effect lag of predictors and prediction in functional linear model
Haiyan Liu, Georgios Aivaliotis, Jeanine Houwing-Duistermaat
http://arxiv.org/abs/1907.09808v1
• [stat.ME]Postprocessing seasonal weather forecasts
Claudio Heinrich, Kristoffer H. Hellton, Alex Lenkoski, Thordis L. Thorarinsdottir
http://arxiv.org/abs/1907.09716v1
• [stat.ML]Bayesian Inference with Generative Adversarial Network Priors
Dhruv Patel, Assad A Oberai
http://arxiv.org/abs/1907.09987v1
• [stat.ML]Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama
http://arxiv.org/abs/1907.09588v1
• [stat.ML]Node Attribute Generation on Graphs
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang
http://arxiv.org/abs/1907.09708v1
• [stat.ML]Off-policy Learning for Multiple Loggers
Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin
http://arxiv.org/abs/1907.09652v1
• [stat.ML]VARENN: Graphical representation of spatiotemporal data and application to climate studies
Takeshi Ise, Yurika Oba
http://arxiv.org/abs/1907.09725v1