cond-mat.stat-mech - 统计数学
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.DC - 分布式、并行与集群计算
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.MM - 多媒体
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.SI - 社交网络与信息网络
econ.EM - 计量经济学
math.ST - 统计理论
q-bio.QM - 定量方法
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations
• [cs.AI]Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
• [cs.AI]Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
• [cs.AI]Community-based 3-SAT Formulas with a Predefined Solution
• [cs.AI]Conservative Agency via Attainable Utility Preservation
• [cs.AI]Design of intentional backdoors in sequential models
• [cs.AI]Information Gathering in Decentralized POMDPs by Policy Graph Improvement
• [cs.AI]Intelligent Autonomous Things on the Battlefield
• [cs.AI]The Termination Critic
• [cs.AI]Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis
• [cs.AI]Understanding Agent Incentives using Causal Influence Diagrams, Part I: Single Action Settings
• [cs.CL]A framework for information extraction from tables in biomedical literature
• [cs.CL]Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes
• [cs.CL]Entity Recognition at First Sight: Improving NER with Eye Movement Information
• [cs.CL]Image-Question-Answer Synergistic Network for Visual Dialog
• [cs.CL]Improving a tf-idf weighted document vector embedding
• [cs.CL]Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
• [cs.CL]On the Use of Emojis to Train Emotion Classifiers
• [cs.CL]Polyglot Contextual Representations Improve Crosslingual Transfer
• [cs.CL]Predicting the Type and Target of Offensive Posts in Social Media
• [cs.CL]Recursive Subtree Composition in LSTM-Based Dependency Parsing
• [cs.CL]Semantic Hilbert Space for Text Representation Learning
• [cs.CL]Structure Tree-LSTM: Structure-aware Attentional Document Encoders
• [cs.CL]Syntactic Recurrent Neural Network for Authorship Attribution
• [cs.CL]Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?
• [cs.CR]An Access Control Model for Robot Calibration
• [cs.CV]An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
• [cs.CV]Anomalous Situation Detection in Complex Scenes
• [cs.CV]Associatively Segmenting Instances and Semantics in Point Clouds
• [cs.CV]Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
• [cs.CV]BoostGAN for Occlusive Profile Face Frontalization and Recognition
• [cs.CV]Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors
• [cs.CV]Convolutional Neural Networks for Automatic Meter Reading
• [cs.CV]Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
• [cs.CV]Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network
• [cs.CV]Disentangled Representation Learning for 3D Face Shape
• [cs.CV]Event-driven Video Frame Synthesis
• [cs.CV]Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
• [cs.CV]Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation
• [cs.CV]Harmonic Unpaired Image-to-image Translation
• [cs.CV]IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
• [cs.CV]LaSO: Label-Set Operations networks for multi-label few-shot learning
• [cs.CV]Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
• [cs.CV]Learning a Deep ConvNet for Multi-label Classification with Partial Labels
• [cs.CV]MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
• [cs.CV]MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
• [cs.CV]Making History Matter: Gold-Critic Sequence Training for Visual Dialog
• [cs.CV]Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
• [cs.CV]QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk
• [cs.CV]Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks
• [cs.CV]Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study
• [cs.CV]Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
• [cs.CV]RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
• [cs.CV]STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
• [cs.CV]SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
• [cs.CV]Self-Selective Correlation Ship Tracking Method for Smart Ocean System
• [cs.CV]Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
• [cs.CV]Stereo R-CNN based 3D Object Detection for Autonomous Driving
• [cs.CV]TCDCaps: Visual Tracking via Cascaded Dense Capsules
• [cs.CV]Towards Corner Case Detection for Autonomous Driving
• [cs.CV]TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
• [cs.CV]Unsupervised Part Mining for Fine-grained Image Classification
• [cs.CV]Unsupervised learning-based long-term superpixel tracking
• [cs.CV]Using Deep Object Features for Image Descriptions
• [cs.CV]Utterance-level Aggregation For Speaker Recognition In The Wild
• [cs.CV]Variational Multi-Phase Segmentation using High-Dimensional Local Features
• [cs.DC]A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories
• [cs.DC]Addressing Scalability with Message Queues: Architecture and Use Cases for DIRAC Interware
• [cs.DC]An Automatic Speedup Theorem for Distributed Problems
• [cs.DC]Byzantine Fault Tolerant Vector Consensus with Anonymous Proposals
• [cs.DC]Fractal: Automated Application Scaling
• [cs.DC]Population protocols with unreliable communication
• [cs.DC]PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems
• [cs.DC]Rucio - Scientific Data Management
• [cs.DC]Simulating Data Access Profiles of Computational Jobs in Data Grids
• [cs.DC]clusterNOR: A NUMA-Optimized Clustering Framework
• [cs.DC]cuSten -- CUDA Finite Difference and Stencil Library
• [cs.GT]Selling a Single Item with Negative Externalities
• [cs.HC]Analyzing the Use of Camera Glasses in the Wild
• [cs.IR]Bootstrapping Domain-Specific Content Discovery on the Web
• [cs.IR]Multi-Scale Quasi-RNN for Next Item Recommendation
• [cs.IT]Achieving Secrecy Capacity of Minimum Storage Regenerating Codes for all Feasible Parameter Values
• [cs.IT]Communications and Radar Coexistence in the Massive MIMO Regime: Uplink Analysis
• [cs.IT]Fast Decoder for Overloaded Uniquely Decodable Synchronous Optical CDMA
• [cs.IT]Joint Communication and Motion Energy Minimization in UGV Backscatter Communication
• [cs.IT]Joint Downlink Scheduling for File Placement and Delivery in Cache-Assisted Wireless Networks with Finite File Lifetime
• [cs.IT]Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing
• [cs.IT]Performance of Non-orthogonal Multiple Access under Finite Blocklength
• [cs.IT]Robust Resource Allocation for PD-NOMA-Based MISO Heterogeneous Networks with CoMP Technology
• [cs.IT]Statistical Learning Aided Decoding of BMST of Tail-Biting Convolutional Code
• [cs.IT]Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming
• [cs.IT]Uniquely Decodable Ternary Codes for Synchronous CDMA Systems
• [cs.IT]Vector Gaussian CEO Problem Under Logarithmic Loss
• [cs.LG]A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
• [cs.LG]A Feature Selection Based on Perturbation Theory
• [cs.LG]Adaptive Gradient Methods with Dynamic Bound of Learning Rate
• [cs.LG]Anomaly Detection for an E-commerce Pricing System
• [cs.LG]Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces
• [cs.LG]Automated Model Selection with Bayesian Quadrature
• [cs.LG]Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
• [cs.LG]Fully Distributed Bayesian Optimization with Stochastic Policies
• [cs.LG]Functional Transparency for Structured Data: a Game-Theoretic Approach
• [cs.LG]Fused Lasso for Feature Selection using Structural Information
• [cs.LG]GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees
• [cs.LG]GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
• [cs.LG]Graph Neural Processes: Towards Bayesian Graph Neural Networks
• [cs.LG]HexaGAN: Generative Adversarial Nets for Real World Classification
• [cs.LG]Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
• [cs.LG]Interaction-aware Factorization Machines for Recommender Systems
• [cs.LG]Interpreting Active Learning Methods Through Information Losses
• [cs.LG]Learning Implicitly Recurrent CNNs Through Parameter Sharing
• [cs.LG]Learning Vertex Convolutional Networks for Graph Classification
• [cs.LG]Learning to Find Hard Instances of Graph Problems
• [cs.LG]MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
• [cs.LG]NAS-Bench-101: Towards Reproducible Neural Architecture Search
• [cs.LG]Perturbed-History Exploration in Stochastic Multi-Armed Bandits
• [cs.LG]Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
• [cs.LG]Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
• [cs.LG]Stochastic Prediction of Multi-Agent Interactions from Partial Observations
• [cs.LG]The State of Sparsity in Deep Neural Networks
• [cs.LG]Topological Bayesian Optimization with Persistence Diagrams
• [cs.LG]Verification of Non-Linear Specifications for Neural Networks
• [cs.MM]A multimodal movie review corpus for fine-grained opinion mining
• [cs.NE]Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron
• [cs.NE]Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors
• [cs.NE]The importance of space and time in neuromorphic cognitive agents
• [cs.NI]Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
• [cs.RO]A Multi-Domain Feature Learning Method for Visual Place Recognition
• [cs.RO]Acting Is Seeing: Navigating Tight Space Using Flapping Wings
• [cs.RO]Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
• [cs.RO]Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals
• [cs.RO]Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty
• [cs.RO]Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots
• [cs.RO]MRS-VPR: a multi-resolution sampling based global visual place recognition method
• [cs.RO]Semantic Relational Object Tracking
• [cs.RO]Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks
• [cs.RO]Simultaneous Detection of Loop-Closures and Changed Objects
• [cs.SI]Community structure in co-inventor networks affects time to first citation for patents
• [econ.EM]On Binscatter
• [econ.EM]Semiparametric estimation of heterogeneous treatment effects under the nonignorable assignment condition
• [math.ST]A Dynamic Model for Double Bounded Time Series With Chaotic Driven Conditional Averages
• [math.ST]Effect Inference from Two-Group Data with Sampling Bias
• [math.ST]Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions
• [math.ST]Sample Splitting and Weak Assumption Inference For Time Series
• [q-bio.QM]A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
• [stat.AP]A Nested K-Nearest Prognostic Approach for Microwave Precipitation Phase Detection over Snow Cover
• [stat.AP]A Source-Oriented Approach to Coal Power Plant Emissions Health Effects
• [stat.AP]Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models
• [stat.AP]Protocol for an Observational Study of the Association of High School Football Participation on Health in Late Adulthood
• [stat.ME]Doubly stochastic distributions of extreme events
• [stat.ME]Multiscale quantile regression
• [stat.ME]Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models
• [stat.ML]AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
• [stat.ML]Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
• [stat.ML]Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
• [stat.ML]Context Vectors are Reflections of Word Vectors in Half the Dimensions
• [stat.ML]Efficient online learning with kernels for adversarial large scale problems
• [stat.ML]Function Space Particle Optimization for Bayesian Neural Networks
• [stat.ML]Multiscale Gaussian Process Level Set Estimation
• [stat.ML]Online Framework for Demand-Responsive Stochastic Route Optimization
• [stat.ML]Optimal Clustering with Missing Values
·····································
• [cond-mat.stat-mech]Ternary Representation of Stochastic Change and the Origin of Entropy and Its Fluctuations
Hong Qian, Yu-Chen Cheng, Lowell F. Thompson
http://arxiv.org/abs/1902.09536v1
• [cs.AI]Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
Christian Gumbsch, Martin V. Butz, Georg Martius
http://arxiv.org/abs/1902.09948v1
• [cs.AI]Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?
Céline Hocquette, Stephen H. Muggleton
http://arxiv.org/abs/1902.09835v1
• [cs.AI]Community-based 3-SAT Formulas with a Predefined Solution
Yamin Hu, Wenjian Luo, Junteng Wang
http://arxiv.org/abs/1902.09706v1
• [cs.AI]Conservative Agency via Attainable Utility Preservation
Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
http://arxiv.org/abs/1902.09725v1
• [cs.AI]Design of intentional backdoors in sequential models
Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani
http://arxiv.org/abs/1902.09972v1
• [cs.AI]Information Gathering in Decentralized POMDPs by Policy Graph Improvement
Mikko Lauri, Joni Pajarinen, Jan Peters
http://arxiv.org/abs/1902.09840v1
• [cs.AI]Intelligent Autonomous Things on the Battlefield
Alexander Kott, Ethan Stump
http://arxiv.org/abs/1902.10086v1
• [cs.AI]The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Remi Munos, Doina Precup
http://arxiv.org/abs/1902.09996v1
• [cs.AI]Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis
Mohammad Ali Javidian, Pooyan Jamshidi, Marco Valtorta
http://arxiv.org/abs/1902.10119v1
• [cs.AI]Understanding Agent Incentives using Causal Influence Diagrams, Part I: Single Action Settings
Tom Everitt, Pedro A. Ortega, Elizabeth Barnes, Shane Legg
http://arxiv.org/abs/1902.09980v1
• [cs.CL]A framework for information extraction from tables in biomedical literature
Nikola Milosevic, Cassie Gregson, Robert Hernandez, Goran Nenadic
http://arxiv.org/abs/1902.10031v1
• [cs.CL]Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes
Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy Devarakonda
http://arxiv.org/abs/1902.09674v1
• [cs.CL]Entity Recognition at First Sight: Improving NER with Eye Movement Information
Nora Hollenstein, Ce Zhang
http://arxiv.org/abs/1902.10068v1
• [cs.CL]Image-Question-Answer Synergistic Network for Visual Dialog
Dalu Guo, Chang Xu, Dacheng Tao
http://arxiv.org/abs/1902.09774v1
• [cs.CL]Improving a tf-idf weighted document vector embedding
Craig W. Schmidt
http://arxiv.org/abs/1902.09875v1
• [cs.CL]Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
Thai-Hoang Pham, Khai Mai, Nguyen Minh Trung, Nguyen Tuan Duc, Danushka Bolegala, Ryohei Sasano, Satoshi Sekine
http://arxiv.org/abs/1902.10118v1
• [cs.CL]On the Use of Emojis to Train Emotion Classifiers
Wegdan Hussien, Mahmoud Al-Ayyoub, Yahya Tashtoush, Mohammed Al-Kabi
http://arxiv.org/abs/1902.08906v2
• [cs.CL]Polyglot Contextual Representations Improve Crosslingual Transfer
Phoebe Mulcaire, Jungo Kasai, Noah Smith
http://arxiv.org/abs/1902.09697v1
• [cs.CL]Predicting the Type and Target of Offensive Posts in Social Media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar
http://arxiv.org/abs/1902.09666v1
• [cs.CL]Recursive Subtree Composition in LSTM-Based Dependency Parsing
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre
http://arxiv.org/abs/1902.09781v1
• [cs.CL]Semantic Hilbert Space for Text Representation Learning
Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song
http://arxiv.org/abs/1902.09802v1
• [cs.CL]Structure Tree-LSTM: Structure-aware Attentional Document Encoders
Khalil Mrini, Claudiu Musat, Michael Baeriswyl, Martin Jaggi
http://arxiv.org/abs/1902.09713v1
• [cs.CL]Syntactic Recurrent Neural Network for Authorship Attribution
Fereshteh Jafariakinabad, Sansiri Tarnpradab, Kien A. Hua
http://arxiv.org/abs/1902.09723v1
• [cs.CL]Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace?
Tommi Gröndahl, N. Asokan
http://arxiv.org/abs/1902.08939v2
• [cs.CR]An Access Control Model for Robot Calibration
Ryan Shah, Shishir Nagaraja
http://arxiv.org/abs/1902.09587v1
• [cs.CV]An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
Stefan Hinterstoisser, Olivier Pauly, Hauke Heibel, Martina Marek, Martin Bokeloh
http://arxiv.org/abs/1902.09967v1
• [cs.CV]Anomalous Situation Detection in Complex Scenes
Michalis Voutouris, Giovanni Sachi, Hina Afridi
http://arxiv.org/abs/1902.10016v1
• [cs.CV]Associatively Segmenting Instances and Semantics in Point Clouds
Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
http://arxiv.org/abs/1902.09852v1
• [cs.CV]Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang
http://arxiv.org/abs/1902.09795v1
• [cs.CV]BoostGAN for Occlusive Profile Face Frontalization and Recognition
Qingyan Duan, Lei Zhang
http://arxiv.org/abs/1902.09782v1
• [cs.CV]Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors
Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Yogamani, Stefan Milz
http://arxiv.org/abs/1902.09839v1
• [cs.CV]Convolutional Neural Networks for Automatic Meter Reading
Rayson Laroca, Victor Barroso, Matheus A. Diniz, Gabriel R. Gonçalves, William Robson Schwartz, David Menotti
http://arxiv.org/abs/1902.09600v1
• [cs.CV]Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks
Yi Li
http://arxiv.org/abs/1902.09658v1
• [cs.CV]Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network
Yechong Huang, Jiahang Xu, Yuncheng Zhou, Tong Tong, Xiahai Zhuang, the Alzheimer's Disease Neuroimaging Initiative
http://arxiv.org/abs/1902.09904v1
• [cs.CV]Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang
http://arxiv.org/abs/1902.09887v1
• [cs.CV]Event-driven Video Frame Synthesis
Zihao Wang, Weixin Jiang, Aggelos Katsaggelos, Oliver Cossairt
http://arxiv.org/abs/1902.09680v1
• [cs.CV]Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
http://arxiv.org/abs/1902.09630v1
• [cs.CV]Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation
Heming Zhang, Shalini Ghosh, Larry Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C. -C. Jay Kuo
http://arxiv.org/abs/1902.09818v1
• [cs.CV]Harmonic Unpaired Image-to-image Translation
Rui Zhang, Tomas Pfister, Jia Li
http://arxiv.org/abs/1902.09727v1
• [cs.CV]IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Ke Yang, Jingjing Fu, Xun Guo, Yan Lu, Peng Qiao, Dongsheng Li, Yong Dou
http://arxiv.org/abs/1902.09928v1
• [cs.CV]LaSO: Label-Set Operations networks for multi-label few-shot learning
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein
http://arxiv.org/abs/1902.09811v1
• [cs.CV]Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
http://arxiv.org/abs/1902.09856v1
• [cs.CV]Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand, Nazanin Mehrasa, Greg Mori
http://arxiv.org/abs/1902.09720v1
• [cs.CV]MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing
Nanyu Li, Cuiyin Liu, Wei Dai
http://arxiv.org/abs/1902.09878v1
• [cs.CV]MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Zhenyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu, Zulin Wang
http://arxiv.org/abs/1902.09707v1
• [cs.CV]Making History Matter: Gold-Critic Sequence Training for Visual Dialog
Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang
http://arxiv.org/abs/1902.09326v2
• [cs.CV]Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
Runsheng Zhang, Yaping Huang, Mengyang Pu, Qingji Guan, Jian Zhang, Qi Zou
http://arxiv.org/abs/1902.09968v1
• [cs.CV]QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk
Hassan Ataeian, Shahriar Esmaeili, Ali Amiri, Neda Maleki Khas, Hossein Safari
http://arxiv.org/abs/1902.09692v1
• [cs.CV]Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks
Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Yogamani, Stefan Milz
http://arxiv.org/abs/1902.09842v1
• [cs.CV]Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study
Zhendong Zhang, Cheolkon Jung
http://arxiv.org/abs/1902.09809v1
• [cs.CV]Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos
Haofei Xu, Jianmin Zheng, Jianfei Cai, Juyong Zhang
http://arxiv.org/abs/1902.09907v1
• [cs.CV]RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
Bastian Wandt, Bodo Rosenhahn
http://arxiv.org/abs/1902.09868v1
• [cs.CV]STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
William McNally, Alexander Wong, John McPhee
http://arxiv.org/abs/1902.10024v1
• [cs.CV]SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
http://arxiv.org/abs/1902.10099v1
• [cs.CV]Self-Selective Correlation Ship Tracking Method for Smart Ocean System
Xu Kang, Bin Song, Jie Guo, Xiaojiang Du, Mohsen Guizani
http://arxiv.org/abs/1902.09690v1
• [cs.CV]Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
http://arxiv.org/abs/1902.09777v1
• [cs.CV]Stereo R-CNN based 3D Object Detection for Autonomous Driving
Peiliang Li, Xiaozhi Chen, Shaojie Shen
http://arxiv.org/abs/1902.09738v1
• [cs.CV]TCDCaps: Visual Tracking via Cascaded Dense Capsules
Ding Ma, Xiangqian Wu
http://arxiv.org/abs/1902.10054v1
• [cs.CV]Towards Corner Case Detection for Autonomous Driving
Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt
http://arxiv.org/abs/1902.09184v2
• [cs.CV]TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
Matthew Amodio, Smita Krishnaswamy
http://arxiv.org/abs/1902.09631v1
• [cs.CV]Unsupervised Part Mining for Fine-grained Image Classification
Jian Zhang, Runsheng Zhang, Yaping Huang, Qi Zou
http://arxiv.org/abs/1902.09941v1
• [cs.CV]Unsupervised learning-based long-term superpixel tracking
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec
http://arxiv.org/abs/1902.09596v1
• [cs.CV]Using Deep Object Features for Image Descriptions
Ashutosh Mishra, Marcus Liwicki
http://arxiv.org/abs/1902.09969v1
• [cs.CV]Utterance-level Aggregation For Speaker Recognition In The Wild
Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman
http://arxiv.org/abs/1902.10107v1
• [cs.CV]Variational Multi-Phase Segmentation using High-Dimensional Local Features
Niklas Mevenkamp, Benjamin Berkels
http://arxiv.org/abs/1902.09863v1
• [cs.DC]A Review on the Application of Blockchain for the Next Generation of Cybersecure Industry 4.0 Smart Factories
Tiago M. Fernández-Caramés, Paula Fraga-Lamas
http://arxiv.org/abs/1902.09604v1
• [cs.DC]Addressing Scalability with Message Queues: Architecture and Use Cases for DIRAC Interware
Wojciech Krzemien, Federico Stagni, Christophe Haen, Zoltan Mathe, Andrew McNab, Milosz Zdybal
http://arxiv.org/abs/1902.09645v1
• [cs.DC]An Automatic Speedup Theorem for Distributed Problems
Sebastian Brandt
http://arxiv.org/abs/1902.09958v1
• [cs.DC]Byzantine Fault Tolerant Vector Consensus with Anonymous Proposals
Christian Cachin, Daniel Collins, Tyler Crain, Vincent Gramoli
http://arxiv.org/abs/1902.10010v1
• [cs.DC]Fractal: Automated Application Scaling
Masoud Koleini, Carlos Oviedo, Derek McAuley, Charalampos Rotsos, Anil Madhavapeddy, Thomas Gazagnaire, Magnus Skejgstad, Richard Mortier
http://arxiv.org/abs/1902.09636v1
• [cs.DC]Population protocols with unreliable communication
Mikhail, Raskin
http://arxiv.org/abs/1902.10041v1
• [cs.DC]PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems
Sergei Arnautov, Andrey Brito, Pascal Felber, Christof Fetzer, Franz Gregor, Robert Krahn, Wojciech Ozga, André Martin, Valerio Schiavoni, Fábio Silva, Marcus Tenorio, Nikolaus Thümmel
http://arxiv.org/abs/1902.09848v1
• [cs.DC]Rucio - Scientific Data Management
Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolo Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner
http://arxiv.org/abs/1902.09857v1
• [cs.DC]Simulating Data Access Profiles of Computational Jobs in Data Grids
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
http://arxiv.org/abs/1902.10069v1
• [cs.DC]clusterNOR: A NUMA-Optimized Clustering Framework
Dia Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns
http://arxiv.org/abs/1902.09527v1
• [cs.DC]cuSten -- CUDA Finite Difference and Stencil Library
Andrew Gloster, Lennon O'Naraigh
http://arxiv.org/abs/1902.09931v1
• [cs.GT]Selling a Single Item with Negative Externalities
Tithi Chattopadhyay, Nick Feamster, Matheus V. X. Ferreira, Danny Yuxing Huang, S. Matthew Weinberg
http://arxiv.org/abs/1902.10008v1
• [cs.HC]Analyzing the Use of Camera Glasses in the Wild
Taryn Bipat, Maarten Willem Bos, Rajan Vaish, Andrés Monroy-Hernández
http://arxiv.org/abs/1902.09749v1
• [cs.IR]Bootstrapping Domain-Specific Content Discovery on the Web
Kien Pham, Aécio Santos, Juliana Freire
http://arxiv.org/abs/1902.09667v1
• [cs.IR]Multi-Scale Quasi-RNN for Next Item Recommendation
Chaoyue He, Yong Liu, Qingyu Guo, Chunyan Miao
http://arxiv.org/abs/1902.09849v1
• [cs.IT]Achieving Secrecy Capacity of Minimum Storage Regenerating Codes for all Feasible Parameter Values
V. Arvind Rameshwar, Navin Kashyap
http://arxiv.org/abs/1902.09865v1
• [cs.IT]Communications and Radar Coexistence in the Massive MIMO Regime: Uplink Analysis
Carmen D'Andrea, Stefano Buzzi, Marco Lops
http://arxiv.org/abs/1902.09603v1
• [cs.IT]Fast Decoder for Overloaded Uniquely Decodable Synchronous Optical CDMA
Michel Kulhandjian, Hovannes Kulhandjian, Claude D'Amours, Halim Yanikomeroglu, Gurgen Khachatrian
http://arxiv.org/abs/1902.09525v1
• [cs.IT]Joint Communication and Motion Energy Minimization in UGV Backscatter Communication
Shuai Wang, Minghua Xia, Yik-Chung Wu
http://arxiv.org/abs/1902.09759v1
• [cs.IT]Joint Downlink Scheduling for File Placement and Delivery in Cache-Assisted Wireless Networks with Finite File Lifetime
Bojie Lv, Lexiang Huang, Rui wang
http://arxiv.org/abs/1902.09529v1
• [cs.IT]Joint Task Assignment and Resource Allocation for D2D-Enabled Mobile-Edge Computing
Hong Xing, Liang Liu, Jie Xu, Arumugam Nallanathan
http://arxiv.org/abs/1902.10017v1
• [cs.IT]Performance of Non-orthogonal Multiple Access under Finite Blocklength
Endrit Dosit, Mohammad Shehabb, Hirley Alves, Matti Latva-aho
http://arxiv.org/abs/1902.09993v1
• [cs.IT]Robust Resource Allocation for PD-NOMA-Based MISO Heterogeneous Networks with CoMP Technology
Atefeh Rezaei, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan
http://arxiv.org/abs/1902.09879v1
• [cs.IT]Statistical Learning Aided Decoding of BMST of Tail-Biting Convolutional Code
Xiao Ma, Wenchao Lin, Suihua Cai, Baodian Wei
http://arxiv.org/abs/1902.09808v1
• [cs.IT]Towards Higher Spectral Efficiency: Spatial Path Index Modulation Improves Millimeter-Wave Hybrid Beamforming
Jintao Wang, Longzhuang He, Jian Song
http://arxiv.org/abs/1902.09709v1
• [cs.IT]Uniquely Decodable Ternary Codes for Synchronous CDMA Systems
Michel Kulhandjian, Claude D'Amours, Hovannes Kulhandjian
http://arxiv.org/abs/1902.09526v1
• [cs.IT]Vector Gaussian CEO Problem Under Logarithmic Loss
Yigit Ugur, Inaki Estella Aguerri, Abdellatif Zaidi
http://arxiv.org/abs/1902.09537v1
• [cs.LG]A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
http://arxiv.org/abs/1902.08722v2
• [cs.LG]A Feature Selection Based on Perturbation Theory
Javad Rahimipour Anaraki, Hamid Usefi
http://arxiv.org/abs/1902.09938v1
• [cs.LG]Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
http://arxiv.org/abs/1902.09843v1
• [cs.LG]Anomaly Detection for an E-commerce Pricing System
Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik
http://arxiv.org/abs/1902.09566v1
• [cs.LG]Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces
Wouter van Heeswijk, Han La Poutré
http://arxiv.org/abs/1902.09855v1
• [cs.LG]Automated Model Selection with Bayesian Quadrature
Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne
http://arxiv.org/abs/1902.09724v1
• [cs.LG]Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Jeremy Morton, Freddie D Witherden, Mykel J Kochenderfer
http://arxiv.org/abs/1902.09742v1
• [cs.LG]Fully Distributed Bayesian Optimization with Stochastic Policies
Javier Garcia-Barcos, Ruben Martinez-Cantin
http://arxiv.org/abs/1902.09992v1
• [cs.LG]Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee, Wengong Jin, David Alvarez-Melis, Tommi S. Jaakkola
http://arxiv.org/abs/1902.09737v1
• [cs.LG]Fused Lasso for Feature Selection using Structural Information
Lixin Cui, Lu Bai, Edwin R. Hancock
http://arxiv.org/abs/1902.09947v1
• [cs.LG]GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees
Ankit Raj, Yuqi Li, Yoram Bresler
http://arxiv.org/abs/1902.09698v1
• [cs.LG]GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Ziyao Li, Liang Zhang, Guojie Song
http://arxiv.org/abs/1902.09817v1
• [cs.LG]Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr, David Wingate
http://arxiv.org/abs/1902.10042v1
• [cs.LG]HexaGAN: Generative Adversarial Nets for Real World Classification
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
http://arxiv.org/abs/1902.09913v1
• [cs.LG]Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
http://arxiv.org/abs/1902.09834v1
• [cs.LG]Interaction-aware Factorization Machines for Recommender Systems
Fuxing Hong, Dongbo Huang, Ge Chen
http://arxiv.org/abs/1902.09757v1
• [cs.LG]Interpreting Active Learning Methods Through Information Losses
Brandon Foggo, Nanpeng Yu
http://arxiv.org/abs/1902.09602v1
• [cs.LG]Learning Implicitly Recurrent CNNs Through Parameter Sharing
Pedro Savarese, Michael Maire
http://arxiv.org/abs/1902.09701v1
• [cs.LG]Learning Vertex Convolutional Networks for Graph Classification
Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock
http://arxiv.org/abs/1902.09936v1
• [cs.LG]Learning to Find Hard Instances of Graph Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
http://arxiv.org/abs/1902.09700v1
• [cs.LG]MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin
http://arxiv.org/abs/1902.09599v1
• [cs.LG]NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter
http://arxiv.org/abs/1902.09635v1
• [cs.LG]Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvari, Mohammad Ghavamzadeh, Craig Boutilier
http://arxiv.org/abs/1902.10089v1
• [cs.LG]Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
Michele Tonutti, Emanuele Ruffaldi, Alessandro Cattaneo, Carlo Alberto Avizzano
http://arxiv.org/abs/1902.09820v1
• [cs.LG]Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Lingyi Han, Kan Zheng, Long Zhao, Xianbin Wang, Xuemin Shen
http://arxiv.org/abs/1902.09601v1
• [cs.LG]Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, Kevin Murphy
http://arxiv.org/abs/1902.09641v1
• [cs.LG]The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen, Sara Hooker
http://arxiv.org/abs/1902.09574v1
• [cs.LG]Topological Bayesian Optimization with Persistence Diagrams
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
http://arxiv.org/abs/1902.09722v1
• [cs.LG]Verification of Non-Linear Specifications for Neural Networks
Chongli Qin, Krishnamurthy, Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
http://arxiv.org/abs/1902.09592v1
• [cs.MM]A multimodal movie review corpus for fine-grained opinion mining
Alexandre Garcia, Slim Essid, Florence d'Alché-Buc, Chloé Clavel
http://arxiv.org/abs/1902.10102v1
• [cs.NE]Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron
Tanmay Chavan, Sangya Dutta, Nihar R. Mohapatra, Udayan Ganguly
http://arxiv.org/abs/1902.09726v1
• [cs.NE]Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors
Jyotibdha Acharya, Vandana Padala, Arindam Basu
http://arxiv.org/abs/1902.09864v1
• [cs.NE]The importance of space and time in neuromorphic cognitive agents
Giacomo Indiveri, Yulia Sandamirskaya
http://arxiv.org/abs/1902.09791v1
• [cs.NI]Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
http://arxiv.org/abs/1902.09696v1
• [cs.RO]A Multi-Domain Feature Learning Method for Visual Place Recognition
Peng Yin, Lingyun Xu, Xueqian Li, Chen Yin, Yingli Li, Rangaprasad Arun Srivatsan, Lu Li, Jianmin Ji, Yuqing He
http://arxiv.org/abs/1902.10058v1
• [cs.RO]Acting Is Seeing: Navigating Tight Space Using Flapping Wings
Zhan Tu, Fan Fei, Jian Zhang, Xinyan Deng
http://arxiv.org/abs/1902.08688v1
• [cs.RO]Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions
Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino, Giampiero Salvi
http://arxiv.org/abs/1902.09705v1
• [cs.RO]Flappy Hummingbird: An Open Source Dynamic Simulation of Flapping Wing Robots and Animals
Fan Fei, Zhan Tu, Yilun Yang, Jian Zhang, Xinyan Deng
http://arxiv.org/abs/1902.09628v1
• [cs.RO]Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty
Marija Popovic, Teresa Vidal-Calleja, Jen Jen Chung, Juan Nieto, Roland Siegwart
http://arxiv.org/abs/1902.09660v1
• [cs.RO]Learning Extreme Hummingbird Maneuvers on Flapping Wing Robots
Fan Fei, Zhan Tu, Jian Zhang, Xinyan Deng
http://arxiv.org/abs/1902.09626v1
• [cs.RO]MRS-VPR: a multi-resolution sampling based global visual place recognition method
Peng Yin, Rangaprasad Arun Srivatsan, Yin Chen, Xueqian Li, Hongda Zhang, Lingyun Xu, Lu Li, Zhenzhong Jia, Jianmin Ji, Yuqing He
http://arxiv.org/abs/1902.10059v1
• [cs.RO]Semantic Relational Object Tracking
Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi, Luc De Raedt
http://arxiv.org/abs/1902.09937v1
• [cs.RO]Sequential Learning of Visual Tracking and Mapping Using Unsupervised Deep Neural Networks
Youngji Kim, Ayoung Kim
http://arxiv.org/abs/1902.09826v1
• [cs.RO]Simultaneous Detection of Loop-Closures and Changed Objects
Tanaka Kanji, Yamaguchi Kousuke, Sugimoto Takuma
http://arxiv.org/abs/1902.09822v1
• [cs.SI]Community structure in co-inventor networks affects time to first citation for patents
W. Doonan, K. W. Higham, M. Governale, U. Zülicke
http://arxiv.org/abs/1902.09679v1
• [econ.EM]On Binscatter
Matias D. Cattaneo, Richard K. Crump, Max H. Farrell, Yingjie Feng
http://arxiv.org/abs/1902.09608v1
• [econ.EM]Semiparametric estimation of heterogeneous treatment effects under the nonignorable assignment condition
Keisuke Takahata, Takahiro Hoshino
http://arxiv.org/abs/1902.09978v1
• [math.ST]A Dynamic Model for Double Bounded Time Series With Chaotic Driven Conditional Averages
Guilherme Pumi, Taiane Schaedler Prass, Rafael Rigão Souza
http://arxiv.org/abs/1902.09614v1
• [math.ST]Effect Inference from Two-Group Data with Sampling Bias
Dave Zachariah, Petre Stoica
http://arxiv.org/abs/1902.09923v1
• [math.ST]Penalized Sieve GEL for Weighted Average Derivatives of Nonparametric Quantile IV Regressions
Xiaohong Chen, Demian Pouzo, James L. Powell
http://arxiv.org/abs/1902.10100v1
• [math.ST]Sample Splitting and Weak Assumption Inference For Time Series
Robert Lunde
http://arxiv.org/abs/1902.07425v2
• [q-bio.QM]A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Jiahang Xu, Fangyang Jiao, Yechong Huang, Xinzhe Luo, Qian Xu, Ling Li, Xueling Liu, Chuantao Zuo, Ping Wu, Xiahai Zhuang
http://arxiv.org/abs/1902.09934v1
• [stat.AP]A Nested K-Nearest Prognostic Approach for Microwave Precipitation Phase Detection over Snow Cover
Zeinab Takbiri, Ardeshir Ebtehaj, Efi Foufoula-Georgiou, Pierre-Emmanuel Kirstetter, F. Joseph Turk
http://arxiv.org/abs/1902.09578v1
• [stat.AP]A Source-Oriented Approach to Coal Power Plant Emissions Health Effects
Kevin Cummiskey, Chanmin Kim, Christine Choirat, Lucas R. F. Henneman, Joel Schwartz, Corwin Zigler
http://arxiv.org/abs/1902.09703v1
• [stat.AP]Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models
Indranil Sahoo, Joseph Guinness, Brian J. Reich
http://arxiv.org/abs/1902.09653v1
• [stat.AP]Protocol for an Observational Study of the Association of High School Football Participation on Health in Late Adulthood
Timothy G. Gaulton, Sameer K. Deshpande, Dylan S. Small, Mark D. Neuman
http://arxiv.org/abs/1902.10106v1
• [stat.ME]Doubly stochastic distributions of extreme events
Marco Marani, Enrico Zorzetto
http://arxiv.org/abs/1902.09862v1
• [stat.ME]Multiscale quantile regression
Laura Jula Vanegas, Merle Behr, Axel Munk
http://arxiv.org/abs/1902.09321v2
• [stat.ME]Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models
Serveh Sharifi Far, Michail Papathomas, Ruth King
http://arxiv.org/abs/1902.10009v1
• [stat.ML]AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
http://arxiv.org/abs/1902.09689v1
• [stat.ML]Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
Antreas Antoniou, Amos Storkey
http://arxiv.org/abs/1902.09884v1
• [stat.ML]Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
Nicolas Durrande, Vincent Adam, Lucas Bordeaux, Stefanos Eleftheriadis, James Hensman
http://arxiv.org/abs/1902.10078v1
• [stat.ML]Context Vectors are Reflections of Word Vectors in Half the Dimensions
Zhenisbek Assylbekov, Rustem Takhanov
http://arxiv.org/abs/1902.09859v1
• [stat.ML]Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
http://arxiv.org/abs/1902.09917v1
• [stat.ML]Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
http://arxiv.org/abs/1902.09754v1
• [stat.ML]Multiscale Gaussian Process Level Set Estimation
Shubhanshu Shekhar, Tara Javidi
http://arxiv.org/abs/1902.09682v1
• [stat.ML]Online Framework for Demand-Responsive Stochastic Route Optimization
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
http://arxiv.org/abs/1902.09745v1
• [stat.ML]Optimal Clustering with Missing Values
Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty
http://arxiv.org/abs/1902.09694v1
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