astro-ph.IM - 仪器仪表和天体物理学方法 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.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 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.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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 q-bio.GN - 基因组学 q-fin.PM - 投资组合管理 q-fin.ST - 统计金融学 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]Applying Information Theory to Design Optimal Filters for Photometric Redshifts
• [cond-mat.stat-mech]Simple explanation of Landauer’s bound and its ineffectiveness for multivalued logic
• [cs.AI]A Rule-Based Model for Victim Prediction
• [cs.AI]Automated Discovery of Data Transformations for Robotic Process Automation
• [cs.AI]Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes
• [cs.AI]Learning Reusable Options for Multi-Task Reinforcement Learning
• [cs.AI]Measuring Diversity in Heterogeneous Information Networks
• [cs.CL]A Comprehensive Survey of Multilingual Neural Machine Translation
• [cs.CL]A Survey on Machine Reading Comprehension Systems
• [cs.CL]Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
• [cs.CL]Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
• [cs.CL]Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding
• [cs.CL]Exploring Benefits of Transfer Learning in Neural Machine Translation
• [cs.CL]Generating Word and Document Embeddings for Sentiment Analysis
• [cs.CL]Improving Entity Linking by Modeling Latent Entity Type Information
• [cs.CL]Information Extraction based on Named Entity for Tourism Corpus
• [cs.CL]Stance Detection Benchmark: How Robust Is Your Stance Detection?
• [cs.CL]Transformer-based language modeling and decoding for conversational speech recognition
• [cs.CL]Why Molière most likely did write his plays
• [cs.CR]ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy
• [cs.CR]Locality-Sensitive Hashing for Efficient Web Application Security Testing
• [cs.CR]Snappy: Fast On-chain Payments with Practical Collaterals
• [cs.CV]A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
• [cs.CV]A Robust Pose Transformational GAN for Pose Guided Person Image Synthesis
• [cs.CV]Adversarial-Learned Loss for Domain Adaptation
• [cs.CV]Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
• [cs.CV]CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
• [cs.CV]Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
• [cs.CV]Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans
• [cs.CV]Cooperative Initialization based Deep Neural Network Training
• [cs.CV]Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
• [cs.CV]Deep Snake for Real-Time Instance Segmentation
• [cs.CV]Discrimination-aware Network Pruning for Deep Model Compression
• [cs.CV]EcoNAS: Finding Proxies for Economical Neural Architecture Search
• [cs.CV]End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation
• [cs.CV]Exploiting Event-Driven Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
• [cs.CV]FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
• [cs.CV]Facial Emotions Recognition using Convolutional Neural Net
• [cs.CV]Few-shot Learning with Multi-scale Self-supervision
• [cs.CV]FrequentNet : A New Deep Learning Baseline for Image Classification
• [cs.CV]General Partial Label Learning via Dual Bipartite Graph Autoencoder
• [cs.CV]Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping
• [cs.CV]Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
• [cs.CV]Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
• [cs.CV]Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
• [cs.CV]Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
• [cs.CV]Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images
• [cs.CV]Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
• [cs.CV]Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
• [cs.CV]RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
• [cs.CV]Res3ATN — Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos
• [cs.CV]Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
• [cs.CV]Spatial-Scale Aligned Network for Fine-Grained Recognition
• [cs.CV]Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection
• [cs.CV]TCM-ICP: Transformation Compatibility Measure for Registering Multiple LIDAR Scans
• [cs.CV]TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
• [cs.CV]The Human Visual System and Adversarial AI
• [cs.CV]Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
• [cs.CV]Understanding Image Captioning Models beyond Visualizing Attention
• [cs.CY]Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
• [cs.CY]Decentralization in Digital Societies — A Design Paradox
• [cs.CY]Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
• [cs.CY]Social Media Attributions in the Context of Water Crisis
• [cs.DB]Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions
• [cs.DB]Privacy in Data Service Composition
• [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
• [cs.DC]Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica
• [cs.DC]GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution
• [cs.DC]SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning
• [cs.DS]A Hybrid Approach to Temporal Pattern Matching
• [cs.DS]Learning fine-grained search space pruning and heuristics for combinatorial optimization
• [cs.DS]New lower bounds for Massively Parallel Computation from query complexity
• [cs.GR]Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
• [cs.IR]On Identifying Hashtags in Disaster Twitter Data
• [cs.IR]Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework
• [cs.IT]A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying
• [cs.IT]An AoI-Optimal Scheduling Method for Wireless Transmissions with Truncated Channel Inversion
• [cs.IT]Coding for Sequence Reconstruction for Single Edits
• [cs.IT]Communication-Channel Optimized Partition
• [cs.IT]Enhanced Huffman Coded OFDM with Index Modulation
• [cs.IT]Improved non-adaptive algorithms for threshold group testing with a gap
• [cs.IT]Matrix Completion with Prior Subspace Information via Maximizing Correlation
• [cs.IT]Minimization Problems on Strictly Convex Divergences
• [cs.IT]Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution
• [cs.IT]On the Phase Sequences and Permutation Functions in the SLM Scheme for OFDM-IM Systems
• [cs.IT]Optimal Binary Linear Codes from Maximal Arcs
• [cs.IT]Secret key authentication capacity region, Part I: average authentication rate
• [cs.IT]Secret key authentication capacity region, Part II: typical authentication rate
• [cs.IT]The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate
• [cs.IT]Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer
• [cs.IT]Timely Status Updating through Intermittent Sensing and Transmission
• [cs.IT]UAV-Sensing-Assisted Cellular Interference Coordination: A Cognitive Radio Approach
• [cs.IT]Undetectable Radios: Covert Communication under Spectral Mask Constraints
• [cs.LG]A Block-based Generative Model for Attributed Networks Embedding
• [cs.LG]A Boolean Task Algebra for Reinforcement Learning
• [cs.LG]A System for Real-Time Interactive Analysis of Deep Learning Training
• [cs.LG]CNNTOP: a CNN-based Trajectory Owner Prediction Method
• [cs.LG]Deeper Insights into Weight Sharing in Neural Architecture Search
• [cs.LG]Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks
• [cs.LG]Development, Demonstration, and Validation of Data-driven Compact Diode Models for Circuit Simulation and Analysis
• [cs.LG]Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
• [cs.LG]Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
• [cs.LG]Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
• [cs.LG]Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
• [cs.LG]Express Wavenet — a low parameter optical neural network with random shift wavelet pattern
• [cs.LG]Flexible Log File Parsing using Hidden Markov Models
• [cs.LG]From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
• [cs.LG]Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
• [cs.LG]Mel-spectrogram augmentation for sequence to sequence voice conversion
• [cs.LG]Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia
• [cs.LG]MushroomRL: Simplifying Reinforcement Learning Research
• [cs.LG]Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints
• [cs.LG]Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
• [cs.LG]Retrosynthesis Prediction with Conditional Graph Logic Network
• [cs.LG]Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment
• [cs.LG]Scalable Gradients for Stochastic Differential Equations
• [cs.LG]Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data
• [cs.LG]Temporal Tensor Transformation Network for Multivariate Time Series Prediction
• [cs.LG]The troublesome kernel: why deep learning for inverse problems is typically unstable
• [cs.LG]Think Locally, Act Globally: Federated Learning with Local and Global Representations
• [cs.LO]selp: A Single-Shot Epistemic Logic Program Solver
• [cs.NE]Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning
• [cs.NE]Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
• [cs.NE]Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function
• [cs.NE]Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
• [cs.NE]Recognizing Images with at most one Spike per Neuron
• [cs.NE]Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators
• [cs.NI]Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks
• [cs.RO]A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots
• [cs.RO]A Robot that Learns Connect Four Using Game Theory and Demonstrations
• [cs.RO]Arduino based Voice controlled Robotic Arm
• [cs.RO]Gait Graph Optimization: Generate Variable Gaits from One Base Gait for Lower-limb Rehabilitation Exoskeleton Robots
• [cs.RO]High-speed Autonomous Drifting with Deep Reinforcement Learning
• [cs.RO]Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads
• [cs.RO]Simulating Ankle Torque during Walking Using a new Bioinspired Muscle Model with Application for Controlling a Powered Exoskeleton
• [cs.RO]Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment
• [cs.SI]Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
• [cs.SI]Measuring the Diversity of Facebook Reactions to Research
• [cs.SI]Phase Transitions in the Edge/Concurrent Vertex Model
• [cs.SI]Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
• [cs.SI]The extent and drivers of gender imbalance in neuroscience reference lists
• [cs.SI]User Profiling Using Hinge-loss Markov Random Fields
• [cs.SI]User Profiling Using Hinge-loss Markov Random Fields
• [eess.AS]Audio-visual Recognition of Overlapped speech for the LRS2 dataset
• [eess.AS]Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
• [eess.IV]Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning
• [eess.IV]COPD Classification in CT Images Using a 3D Convolutional Neural Network
• [eess.IV]Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
• [eess.IV]Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
• [eess.IV]Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
• [eess.IV]Image Speckle Noise Denoising by a Multi-Layer Fusion Enhancement Method based on Block Matching and 3D Filtering
• [eess.IV]Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
• [eess.IV]Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
• [eess.SP]Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels
• [eess.SP]Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
• [eess.SP]Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
• [eess.SP]Syndrome-Enabled Unsupervised Learning for Channel Adaptive Blind Equalizer with Joint Optimization Mechanism
• [math.ST]A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits
• [math.ST]Analytic Permutation Testing via Kahane—Khintchine Inequalities
• [math.ST]Cutoff for exact recovery of Gaussian mixture models
• [math.ST]Exponential inequalities for dependent V-statistics via random Fourier features
• [math.ST]Gradient descent algorithms for Bures-Wasserstein barycenters
• [math.ST]Maximum Likelihood Estimation of Stochastic Differential Equations with Random Effects Driven by Fractional Brownian Motion
• [math.ST]Recent Developments in Complex and Spatially Correlated Functional Data
• [physics.data-an]Emergent limits of an indirect measurement from phase transitions of inference
• [physics.data-an]How neural networks find generalizable solutions: Self-tuned annealing in deep learning
• [q-bio.GN]Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization
• [q-fin.PM]A Note on Portfolio Optimization with Quadratic Transaction Costs
• [q-fin.ST]Forecasting Bitcoin closing price series using linear regression and neural networks models
• [stat.AP]Bayesian Median Autoregression for Robust Time Series Forecasting
• [stat.AP]Causal Impact of Web Browsing and Other Factors on Research Publications
• [stat.AP]Decline of war or end of positive check? Analysis of change in war size distribution between 1816-2007
• [stat.AP]Monitoring the Multivariate Coefficient of Variation using Run Rules Type Control Charts
• [stat.CO]Discrete event simulation of point processes: A computational complexity analysis on sparse graphs
• [stat.CO]Estimation of the spatial weighting matrix for regular lattice data — An adaptive lasso approach with cross-sectional resampling
• [stat.ME]A Spectral Hidden Markov Model for Nonstationary Oscillatory Processes
• [stat.ME]Closed testing with Globaltest with applications on metabolomics data
• [stat.ME]Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
• [stat.ME]On the definition of a concentration function relevant to the ROC curve
• [stat.ME]Permutation testing in high-dimensional linear models: an empirical investigation
• [stat.ME]Prediction in locally stationary time series
• [stat.ME]Scalable Estimation and Inference with Large-scale or Online Survival Data
• [stat.ML]Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
• [stat.ML]Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment
• [stat.ML]High-Dimensional Independence Testing and Maximum Marginal Correlation
• [stat.ML]MREC: a fast and versatile framework for aligning and matching data with applications to single cell molecular data
• [stat.ML]Variational Bayesian Methods for Stochastically Constrained System Design Problems
·····································
• [astro-ph.IM]Applying Information Theory to Design Optimal Filters for Photometric Redshifts
J. Bryce Kalmbach, Jacob T. VanderPlas, Andrew J. Connolly
http://arxiv.org/abs/2001.01372v1
• [cond-mat.stat-mech]Simple explanation of Landauer’s bound and its ineffectiveness for multivalued logic
Radosław A. Kycia, Agnieszka Niemczynowcz
http://arxiv.org/abs/2001.00942v1
• [cs.AI]A Rule-Based Model for Victim Prediction
Murat Ozer, Nelly Elsayed, Said Varlioglu, Chengcheng Li
http://arxiv.org/abs/2001.01391v1
• [cs.AI]Automated Discovery of Data Transformations for Robotic Process Automation
Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
http://arxiv.org/abs/2001.01007v1
• [cs.AI]Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes
Jakub Kowalski, Radosław Miernik
http://arxiv.org/abs/2001.01326v1
• [cs.AI]Learning Reusable Options for Multi-Task Reinforcement Learning
Francisco M. Garcia, Chris Nota, Philip S. Thomas
http://arxiv.org/abs/2001.01577v1
• [cs.AI]Measuring Diversity in Heterogeneous Information Networks
Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphael Fournier-S’niehotta, Remy Poulain, Lionel Tabourier, Fabien Tarissan
http://arxiv.org/abs/2001.01296v1
• [cs.CL]A Comprehensive Survey of Multilingual Neural Machine Translation
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
http://arxiv.org/abs/2001.01115v1
• [cs.CL]A Survey on Machine Reading Comprehension Systems
Razieh Baradaran, Razieh Ghiasi, Hossein Amirkhani
http://arxiv.org/abs/2001.01582v1
• [cs.CL]Adapting Deep Learning for Sentiment Classification of Code-Switched Informal Short Text
Muhammad Haroon Shakeel, Asim Karim
http://arxiv.org/abs/2001.01047v1
• [cs.CL]Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
Xue Han, Lianxue Hu, Yabin Dang, Shivali Agarwal, Lijun Mei, Shaochun Li, Xin Zhou
http://arxiv.org/abs/2001.01243v1
• [cs.CL]Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding
Brian Lester, Daniel Pressel, Amy Hemmeter, Sagnik Ray Choudhury
http://arxiv.org/abs/2001.01167v1
• [cs.CL]Exploring Benefits of Transfer Learning in Neural Machine Translation
Tom Kocmi
http://arxiv.org/abs/2001.01622v1
• [cs.CL]Generating Word and Document Embeddings for Sentiment Analysis
Cem Rıfkı Aydın, Tunga Güngör, Ali Erkan
http://arxiv.org/abs/2001.01269v1
• [cs.CL]Improving Entity Linking by Modeling Latent Entity Type Information
Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin
http://arxiv.org/abs/2001.01447v1
• [cs.CL]Information Extraction based on Named Entity for Tourism Corpus
Chantana Chantrapornchai, Aphisit Tunsakul
http://arxiv.org/abs/2001.01588v1
• [cs.CL]Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych
http://arxiv.org/abs/2001.01565v1
• [cs.CL]Transformer-based language modeling and decoding for conversational speech recognition
Kareem Nassar
http://arxiv.org/abs/2001.01140v1
• [cs.CL]Why Molière most likely did write his plays
Florian Cafiero, Jean-Baptiste Camps
http://arxiv.org/abs/2001.01595v1
• [cs.CR]ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy
Sudipta Paul, Subhankar Mishra
http://arxiv.org/abs/2001.01618v1
• [cs.CR]Locality-Sensitive Hashing for Efficient Web Application Security Testing
Ilan Ben-Bassat, Erez Rokah
http://arxiv.org/abs/2001.01128v1
• [cs.CR]Snappy: Fast On-chain Payments with Practical Collaterals
Vasilios Mavroudis, Karl Wüst, Aritra Dhar, Kari Kostiainen, Srdjan Capkun
http://arxiv.org/abs/2001.01278v1
• [cs.CV]A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Pei Xu, Shan Huang, Hongzhen Wang, Hao Song, Shen Huang, Qi Ju
http://arxiv.org/abs/2001.00722v2
• [cs.CV]A Robust Pose Transformational GAN for Pose Guided Person Image Synthesis
Arnab Karmakar, Deepak Mishra
http://arxiv.org/abs/2001.01259v1
• [cs.CV]Adversarial-Learned Loss for Domain Adaptation
Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
http://arxiv.org/abs/2001.01046v1
• [cs.CV]Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
http://arxiv.org/abs/2001.01306v1
• [cs.CV]CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Jyri Maanpää, Hao Ma, Juha Hyyppä, Ruizhi Chen
http://arxiv.org/abs/2001.01354v1
• [cs.CV]Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler
http://arxiv.org/abs/2001.01613v1
• [cs.CV]Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga
http://arxiv.org/abs/2001.01330v1
• [cs.CV]Cooperative Initialization based Deep Neural Network Training
Pravendra Singh, Munender Varshney, Vinay P. Namboodiri
http://arxiv.org/abs/2001.01240v1
• [cs.CV]Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
Lin Wang, Wonjune Cho, Kuk-Jin Yoon
http://arxiv.org/abs/2001.01506v1
• [cs.CV]Deep Snake for Real-Time Instance Segmentation
Sida Peng, Wen Jiang, Huaijin Pi, Hujun Bao, Xiaowei Zhou
http://arxiv.org/abs/2001.01629v1
• [cs.CV]Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jinhui Zhu, Mingkui Tan
http://arxiv.org/abs/2001.01050v1
• [cs.CV]EcoNAS: Finding Proxies for Economical Neural Architecture Search
Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang, Chen Change Loy, Shuai Yi, Xuesen Zhang, Wanli Ouyang
http://arxiv.org/abs/2001.01233v1
• [cs.CV]End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation
Xiaohong Liu, Lingshi Kong, Yang Zhou, Jiying Zhao, Jun Chen
http://arxiv.org/abs/2001.01162v1
• [cs.CV]Exploiting Event-Driven Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories
Marco Monforte, Ander Arriandiaga, Arren Glover, Chiara Bartolozzi
http://arxiv.org/abs/2001.01248v1
• [cs.CV]FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network
Hyeonseong Jeon, Youngoh Bang, Simon S. Woo
http://arxiv.org/abs/2001.01265v1
• [cs.CV]Facial Emotions Recognition using Convolutional Neural Net
Faisal Ghaffar
http://arxiv.org/abs/2001.01456v1
• [cs.CV]Few-shot Learning with Multi-scale Self-supervision
Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
http://arxiv.org/abs/2001.01600v1
• [cs.CV]FrequentNet : A New Deep Learning Baseline for Image Classification
Yifei Li, Zheng Wang, Kuangyan Song, Yiming Sun
http://arxiv.org/abs/2001.01034v1
• [cs.CV]General Partial Label Learning via Dual Bipartite Graph Autoencoder
Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang
http://arxiv.org/abs/2001.01290v1
• [cs.CV]Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping
Xiaochen Liu, Yurong Jiang, Kyu-Han Kim, Ramesh Govindan
http://arxiv.org/abs/2001.01033v1
• [cs.CV]Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun
http://arxiv.org/abs/2001.01173v1
• [cs.CV]Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang, Guiguang Ding
http://arxiv.org/abs/2001.01536v1
• [cs.CV]Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Zhiyong Dou, Haotian Cui, Bo Wang
http://arxiv.org/abs/2001.01284v1
• [cs.CV]Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Tong He, Dong Gong, Zhi Tian, Chunhua Shen
http://arxiv.org/abs/2001.01349v1
• [cs.CV]Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
http://arxiv.org/abs/2001.01599v1
• [cs.CV]Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
Yixiao Ge, Dapeng Chen, Hongsheng Li
http://arxiv.org/abs/2001.01526v1
• [cs.CV]Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
Qian Li, Nan Guo, Xiaochun Ye, Dongrui Fan, Zhimin Tang, Honggang Chen, Wenming Li
http://arxiv.org/abs/2001.01057v1
• [cs.CV]RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
Lukas Cavigelli, Luca Benini
http://arxiv.org/abs/2001.01091v1
• [cs.CV]Res3ATN — Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos
Naina Dhingra, Andreas Kunz
http://arxiv.org/abs/2001.01083v1
• [cs.CV]Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang
http://arxiv.org/abs/2001.01275v1
• [cs.CV]Spatial-Scale Aligned Network for Fine-Grained Recognition
Lizhao Gao, Haihua Xu, Chong Sun, Junling Liu, Yu-Wing Tai
http://arxiv.org/abs/2001.01211v1
• [cs.CV]Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection
Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma
http://arxiv.org/abs/2001.01168v1
• [cs.CV]TCM-ICP: Transformation Compatibility Measure for Registering Multiple LIDAR Scans
Aby Thomas, Adarsh Sunilkumar, Shankar Shylesh, Aby Abahai T., Subhasree Methirumangalath, Dong Chen, Jiju Peethambaran
http://arxiv.org/abs/2001.01129v1
• [cs.CV]TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig
http://arxiv.org/abs/2001.01469v1
• [cs.CV]The Human Visual System and Adversarial AI
Yaoshiang Ho, Samuel Wookey
http://arxiv.org/abs/2001.01172v1
• [cs.CV]Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
Samet Akcay, Toby Breckon
http://arxiv.org/abs/2001.01293v1
• [cs.CV]Understanding Image Captioning Models beyond Visualizing Attention
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
http://arxiv.org/abs/2001.01037v1
• [cs.CY]Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
http://arxiv.org/abs/2001.00973v1
• [cs.CY]Decentralization in Digital Societies — A Design Paradox
Evangelos Pournaras
http://arxiv.org/abs/2001.01511v1
• [cs.CY]Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
http://arxiv.org/abs/2001.00964v1
• [cs.CY]Social Media Attributions in the Context of Water Crisis
Rupak Sarkar, Hirak Sarkar, Sayantan Mahinder, Ashiqur R. KhudaBukhsh
http://arxiv.org/abs/2001.01697v1
• [cs.DB]Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions
Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
http://arxiv.org/abs/2001.01174v1
• [cs.DB]Privacy in Data Service Composition
Mahmoud Barhamgi, Charith Perera, Chia-Mu Yu, Djamal Benslimane, David Camacho, Christine Bonnet
http://arxiv.org/abs/2001.00975v1
• [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
http://arxiv.org/abs/2001.01473v1
• [cs.DC]Big Data Architecture in Czech Republic Healthcare Service: Requirements, TPC-H Benchmarks and Vertica
Martin Štufi, Boris Bačić, Leonid Stoimenov
http://arxiv.org/abs/2001.01192v1
• [cs.DC]GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution
Jonathan Hasenburg, David Bermbach
http://arxiv.org/abs/2001.01603v1
• [cs.DC]SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning
Shibo Wang, Shusen Yang, Cong Zhao
http://arxiv.org/abs/2001.01043v1
• [cs.DS]A Hybrid Approach to Temporal Pattern Matching
Konstantinos Semertzidis, Evaggelia Pitoura
http://arxiv.org/abs/2001.01661v1
• [cs.DS]Learning fine-grained search space pruning and heuristics for combinatorial optimization
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani
http://arxiv.org/abs/2001.01230v1
• [cs.DS]New lower bounds for Massively Parallel Computation from query complexity
Moses Charikar, Weiyun Ma, Li-Yang Tan
http://arxiv.org/abs/2001.01146v1
• [cs.GR]Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
http://arxiv.org/abs/2001.01026v1
• [cs.IR]On Identifying Hashtags in Disaster Twitter Data
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
http://arxiv.org/abs/2001.01323v1
• [cs.IR]Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework
Mi Khine Oo, May Aye Khine
http://arxiv.org/abs/2001.01669v1
• [cs.IT]A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying
Xiaochen Lin, Weidong Mei, Rui Zhang
http://arxiv.org/abs/2001.01257v1
• [cs.IT]An AoI-Optimal Scheduling Method for Wireless Transmissions with Truncated Channel Inversion
Yalei Wang, Wei Chen
http://arxiv.org/abs/2001.01234v1
• [cs.IT]Coding for Sequence Reconstruction for Single Edits
Han Mao Kiah, Tuan Thanh Nguyen, Eitan Yaakobi
http://arxiv.org/abs/2001.01376v1
• [cs.IT]Communication-Channel Optimized Partition
Thuan Nguyen, Thinh Nguyen
http://arxiv.org/abs/2001.01708v1
• [cs.IT]Enhanced Huffman Coded OFDM with Index Modulation
Shuping Dang, Shuaishuai Guo, Justin P. Coon, Basem Shihada, Mohamed-Slim Alouini
http://arxiv.org/abs/2001.01187v1
• [cs.IT]Improved non-adaptive algorithms for threshold group testing with a gap
Thach V. Bui, Mahdi Cheraghchi, Isao Echizen
http://arxiv.org/abs/2001.01008v1
• [cs.IT]Matrix Completion with Prior Subspace Information via Maximizing Correlation
Xu Zhang, Wei Cui, Yulong Liu
http://arxiv.org/abs/2001.01152v1
• [cs.IT]Minimization Problems on Strictly Convex Divergences
Tomohiro Nishiyama
http://arxiv.org/abs/2001.01079v1
• [cs.IT]Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution
Junlin Zhao, Mohammad Mohammadi Amiri, Deniz Gündüz
http://arxiv.org/abs/2001.01255v1
• [cs.IT]On the Phase Sequences and Permutation Functions in the SLM Scheme for OFDM-IM Systems
Kee-Hoon Kim
http://arxiv.org/abs/2001.01544v1
• [cs.IT]Optimal Binary Linear Codes from Maximal Arcs
Ziling Heng, Cunsheng Ding, Weiqiong Wang
http://arxiv.org/abs/2001.01049v1
• [cs.IT]Secret key authentication capacity region, Part I: average authentication rate
Jake Perazzone, Eric Graves, Paul Yu, Rick Blum
http://arxiv.org/abs/2001.01668v1
• [cs.IT]Secret key authentication capacity region, Part II: typical authentication rate
Eric Graves, Jake Perazzone, Paul Yu, Rick Blum
http://arxiv.org/abs/2001.01667v1
• [cs.IT]The Asymptotic Generalized Poor-Verdu Bound Achieves the BSC Error Exponent at Zero Rate
Ling-Hua Chang, Po-Ning Chen, Fady Alajaji, Yunghsiang S. Han
http://arxiv.org/abs/2001.01159v1
• [cs.IT]Throughput Maximization of Mixed FSO/RF UAV-aided Mobile Relaying with a Buffer
Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko, Mohamed-Slim Alouini
http://arxiv.org/abs/2001.01193v1
• [cs.IT]Timely Status Updating through Intermittent Sensing and Transmission
Omur Ozel
http://arxiv.org/abs/2001.01122v1
• [cs.IT]UAV-Sensing-Assisted Cellular Interference Coordination: A Cognitive Radio Approach
Weidong Mei, Rui Zhang
http://arxiv.org/abs/2001.01253v1
• [cs.IT]Undetectable Radios: Covert Communication under Spectral Mask Constraints
Qiaosheng, Zhang, Matthieu R. Bloch, Mayank Bakshi, Sidharth Jaggi
http://arxiv.org/abs/2001.01201v1
• [cs.LG]A Block-based Generative Model for Attributed Networks Embedding
Xueyan Liu, Wenzhuo Song, Wanli Zuo, Katarzyna Musial, Bo Yang
http://arxiv.org/abs/2001.01383v1
• [cs.LG]A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse, Steven James, Benjamin Rosman
http://arxiv.org/abs/2001.01394v1
• [cs.LG]A System for Real-Time Interactive Analysis of Deep Learning Training
Shital Shah, Roland Fernandez, Steven Drucker
http://arxiv.org/abs/2001.01215v1
• [cs.LG]CNNTOP: a CNN-based Trajectory Owner Prediction Method
Xucheng Luo, Shengyang Li, Yuxiang Peng
http://arxiv.org/abs/2001.01185v1
• [cs.LG]Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
http://arxiv.org/abs/2001.01431v1
• [cs.LG]Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks
Eleni Nisioti, Nikolaos Thomos
http://arxiv.org/abs/2001.01249v1
• [cs.LG]Development, Demonstration, and Validation of Data-driven Compact Diode Models for Circuit Simulation and Analysis
K. Aadithya, P. Kuberry, B. Paskaleva, P. Bochev, K. Leeson, A. Mar, T. Mei, E. Keiter
http://arxiv.org/abs/2001.01699v1
• [cs.LG]Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim
http://arxiv.org/abs/2001.01578v1
• [cs.LG]Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis
Haroon Raja, Waheed U. Bajwa
http://arxiv.org/abs/2001.01017v1
• [cs.LG]Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu
http://arxiv.org/abs/2001.01347v1
• [cs.LG]Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
Xiao Zhang, Dongrui Wu
http://arxiv.org/abs/2001.01072v1
• [cs.LG]Express Wavenet — a low parameter optical neural network with random shift wavelet pattern
Yingshi Chen
http://arxiv.org/abs/2001.01458v1
• [cs.LG]Flexible Log File Parsing using Hidden Markov Models
Nadine Kuhnert, Andreas Maier
http://arxiv.org/abs/2001.01216v1
• [cs.LG]From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
Osvaldo Simeone, Sangwoo Park, Joonhyuk Kang
http://arxiv.org/abs/2001.01227v1
• [cs.LG]Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan, Wei-Lun Chao
http://arxiv.org/abs/2001.01385v1
• [cs.LG]Mel-spectrogram augmentation for sequence to sequence voice conversion
Yeongtae Hwang, Hyemin Cho, Hongsun Yang, Insoo Oh, Seong-Whan Lee
http://arxiv.org/abs/2001.01401v1
• [cs.LG]Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia
Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey Plis, Vince D. Calhoun
http://arxiv.org/abs/2001.01707v1
• [cs.LG]MushroomRL: Simplifying Reinforcement Learning Research
Carlo D’Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
http://arxiv.org/abs/org/abs/2001.01102v1
• [cs.LG]Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints
Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre
http://arxiv.org/abs/2001.01620v1
• [cs.LG]Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
Weiya Ren
http://arxiv.org/abs/2001.01096v1
• [cs.LG]Retrosynthesis Prediction with Conditional Graph Logic Network
Hanjun Dai, Chengtao Li, Connor W. Coley, Bo Dai, Le Song
http://arxiv.org/abs/2001.01408v1
• [cs.LG]Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment
Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart
http://arxiv.org/abs/2001.01056v1
• [cs.LG]Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
http://arxiv.org/abs/2001.01328v1
• [cs.LG]Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
http://arxiv.org/abs/2001.00994v1
• [cs.LG]Temporal Tensor Transformation Network for Multivariate Time Series Prediction
Yuya Jeremy Ong, Mu Qiao, Divyesh Jadav
http://arxiv.org/abs/2001.01051v1
• [cs.LG]The troublesome kernel: why deep learning for inverse problems is typically unstable
Nina M. Gottschling, Vegard Antun, Ben Adcock, Anders C. Hansen
http://arxiv.org/abs/2001.01258v1
• [cs.LG]Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang, Terrance Liu, Liu Ziyin, Ruslan Salakhutdinov, Louis-Philippe Morency
http://arxiv.org/abs/2001.01523v1
• [cs.LO]selp: A Single-Shot Epistemic Logic Program Solver
Manuel Bichler, Michael Morak, Stefan Woltran
http://arxiv.org/abs/2001.01089v1
• [cs.NE]Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning
Takashi Shinozaki
http://arxiv.org/abs/2001.01121v1
• [cs.NE]Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
http://arxiv.org/abs/2001.01587v1
• [cs.NE]Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function
Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen
http://arxiv.org/abs/2001.01416v1
• [cs.NE]Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
Andrew Lensen, Mengjie Zhang, Bing Xue
http://arxiv.org/abs/2001.01331v1
• [cs.NE]Recognizing Images with at most one Spike per Neuron
Christoph Stöckl, Wolfgang Maass
http://arxiv.org/abs/2001.01682v1
• [cs.NE]Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators
Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament
http://arxiv.org/abs/2001.01382v1
• [cs.NI]Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks
Hongxin Wei, Wei Feng, Chi Zhang, Yunfei Chen, Yuguang Fang, Ning Ge
http://arxiv.org/abs/2001.01358v1
• [cs.RO]A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots
Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M Hegde
http://arxiv.org/abs/2001.01555v1
• [cs.RO]A Robot that Learns Connect Four Using Game Theory and Demonstrations
Ali Ayub, Alan Wagner
http://arxiv.org/abs/2001.01004v1
• [cs.RO]Arduino based Voice controlled Robotic Arm
Adwait P Naik, Prof. Annu Abraham
http://arxiv.org/abs/2001.01222v1
• [cs.RO]Gait Graph Optimization: Generate Variable Gaits from One Base Gait for Lower-limb Rehabilitation Exoskeleton Robots
Lei Zhang, Weihai Chen, Yuan Chai, Jianhua Wang, Jianbin Zhang
http://arxiv.org/abs/2001.00728v1
• [cs.RO]High-speed Autonomous Drifting with Deep Reinforcement Learning
Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, Ming Liu
http://arxiv.org/abs/2001.01377v1
• [cs.RO]Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads
Erich Mielke, Eric Townsend, David Wingate, Marc D. Killpack
http://arxiv.org/abs/2001.00991v1
• [cs.RO]Simulating Ankle Torque during Walking Using a new Bioinspired Muscle Model with Application for Controlling a Powered Exoskeleton
Safoura Sadegh Pour Aji Bishe, Dan Rivera, Katherine Strausser, Zachary Lerner, Kiisa Nishikawa
http://arxiv.org/abs/2001.01011v1
• [cs.RO]Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment
Zirui Zhao, Yijun Mao, Yan Ding, Pengju Ren, Nanning Zheng
http://arxiv.org/abs/2001.01028v1
• [cs.SI]Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
Alexander Ruch
http://arxiv.org/abs/2001.01126v1
• [cs.SI]Measuring the Diversity of Facebook Reactions to Research
Cole Freeman, Hamed Alhoori, Murtuza Shahzad
http://arxiv.org/abs/2001.01029v1
• [cs.SI]Phase Transitions in the Edge/Concurrent Vertex Model
Carter T. Butts
http://arxiv.org/abs/2001.01138v1
• [cs.SI]Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
Ghazaleh Beigi, Jiliang Tang, Huan Liu
http://arxiv.org/abs/2001.01015v1
• [cs.SI]The extent and drivers of gender imbalance in neuroscience reference lists
Jordan D. Dworkin, Kristin A. Linn, Erin G. Teich, Perry Zurn, Russell T. Shinohara, Danielle S. Bassett
http://arxiv.org/abs/2001.01002v1
• [cs.SI]User Profiling Using Hinge-loss Markov Random Fields
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
http://arxiv.org/abs/2001.01177v1
• [cs.SI]User Profiling Using Hinge-loss Markov Random Fields
Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
http://arxiv.org/abs/0
/abs/2001.01177v1
/abs/2001.01177v1)
• [eess.AS]Audio-visual Recognition of Overlapped speech for the LRS2 dataset
Jianwei Yu, Shi-Xiong Zhang, Jian Wu, Shahram Ghorbani, Bo Wu, Shiyin Kang, Shansong Liu, Xunying Liu, Helen Meng, Dong Yu
http://arxiv.org/abs/2001.01656v1
• [eess.AS]Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders
Cheng Yu, Ryandhimas E. Zezario, Jonathan Sherman, Yi-Yen Hsieh, Xugang Lu, Hsin-Min Wang, Yu Tsao
http://arxiv.org/abs/2001.01538v1
• [eess.IV]Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning
Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani
http://arxiv.org/abs/2001.01277v1
• [eess.IV]COPD Classification in CT Images Using a 3D Convolutional Neural Network
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kaergel, Nishant Ravikumar, Martine Remy-Jardin, Andreas Maier
http://arxiv.org/abs/2001.01100v1
• [eess.IV]Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun, Seong Hyeon Baek, Mingyu Lee, Sung Min Lee, Jin Keun Seo
http://arxiv.org/abs/2001.01432v1
• [eess.IV]Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
Xufeng Huang, Qiang Lei, Tingli Xie, Yahui Zhang, Zhen Hu, Qi Zhou
http://arxiv.org/abs/2001.01279v1
• [eess.IV]Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao
http://arxiv.org/abs/2001.01547v1
• [eess.IV]Image Speckle Noise Denoising by a Multi-Layer Fusion Enhancement Method based on Block Matching and 3D Filtering
Huang Shuo, Zhou Ping, Shi Hao, Sun Yu, Wan Suiren
http://arxiv.org/abs/2001.01055v1
• [eess.IV]Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
Nadine Kuhnert, Lea Pflüger, Andreas Maier
http://arxiv.org/abs/2001.01213v1
• [eess.IV]Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer Dy, Dana H. Brooks, Milind Rajadhyaksha
http://arxiv.org/abs/2001.01005v1
• [eess.SP]Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels
Chieh-Fang Teng, Ching-Yao Chou, Chun-Hsiang Chen, An-Yeu Wu
http://arxiv.org/abs/2001.01395v1
• [eess.SP]Application of ICA on Self-Interference Cancellation of In-band Full Duplex Systems
Mohammed E. Fouda, Sergey Shaboyan, Ayman Elezabi, Ahmed Eltawil
http://arxiv.org/abs/2001.00962v1
• [eess.SP]Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
Haojun Ai, Kaifeng Tang, Sheng Zhang, Yuhong Yang
http://arxiv.org/abs/2001.01225v1
• [eess.SP]Syndrome-Enabled Unsupervised Learning for Channel Adaptive Blind Equalizer with Joint Optimization Mechanism
Chieh-Fang Teng, Yen-Liang Chen
http://arxiv.org/abs/2001.01426v1
• [math.ST]A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits
Vrettos Moulos
http://arxiv.org/abs/2001.01199v1
• [math.ST]Analytic Permutation Testing via Kahane—Khintchine Inequalities
Adam B Kashlak, Sergii Myroshnychenko, Susanna Spektor
http://arxiv.org/abs/2001.01130v1
• [math.ST]Cutoff for exact recovery of Gaussian mixture models
Xiaohui Chen, Yun Yang
http://arxiv.org/abs/2001.01194v1
• [math.ST]Exponential inequalities for dependent V-statistics via random Fourier features
Yandi Shen, Fang Han, Daniela Witten
http://arxiv.org/abs/2001.01297v1
• [math.ST]Gradient descent algorithms for Bures-Wasserstein barycenters
Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
http://arxiv.org/abs/2001.01700v1
• [math.ST]Maximum Likelihood Estimation of Stochastic Differential Equations with Random Effects Driven by Fractional Brownian Motion
Min Dai, Jinqiao Duan, Junjun Liao, Xiangjun Wang
http://arxiv.org/abs/2001.01412v1
• [math.ST]Recent Developments in Complex and Spatially Correlated Functional Data
Israel Martínez-Hernádez, Marc G. Genton
http://arxiv.org/abs/2001.01166v1
• [physics.data-an]Emergent limits of an indirect measurement from phase transitions of inference
Satoru Tokuda, Kenji Nagata, Masato Okada
http://arxiv.org/abs/2001.01335v1
• [physics.data-an]How neural networks find generalizable solutions: Self-tuned annealing in deep learning
Yu Feng, Yuhai Tu
http://arxiv.org/abs/2001.01678v1
• [q-bio.GN]Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
http://arxiv.org/abs/2001.01006v1
• [q-fin.PM]A Note on Portfolio Optimization with Quadratic Transaction Costs
Pierre Chen, Edmond Lezmi, Thierry Roncalli, Jiali Xu
http://arxiv.org/abs/2001.01612v1
• [q-fin.ST]Forecasting Bitcoin closing price series using linear regression and neural networks models
Nicola Uras, Lodovica Marchesi, Michele Marchesi, Roberto Tonelli
http://arxiv.org/abs/2001.01127v1
• [stat.AP]Bayesian Median Autoregression for Robust Time Series Forecasting
Zijian Zeng, Meng Li
http://arxiv.org/abs/2001.01116v1
• [stat.AP]Causal Impact of Web Browsing and Other Factors on Research Publications
Bharathi Manjula . K, Sourish Das, Jehadeesan . R
http://arxiv.org/abs/2001.01040v1
• [stat.AP]Decline of war or end of positive check? Analysis of change in war size distribution between 1816-2007
Stijn van Weezel
http://arxiv.org/abs/2001.01245v1
• [stat.AP]Monitoring the Multivariate Coefficient of Variation using Run Rules Type Control Charts
P. H. Tran, A. C. Rakitzis, H. D. Nguyen, Q. T. Nguyen, K. P. Tran, C. Heuchenne
http://arxiv.org/abs/2001.00996v1
• [stat.CO]Discrete event simulation of point processes: A computational complexity analysis on sparse graphs
Cyrille Mascart, Alexandre Muzy, Patricia Reynaud-bouret
http://arxiv.org/abs/2001.01702v1
• [stat.CO]Estimation of the spatial weighting matrix for regular lattice data — An adaptive lasso approach with cross-sectional resampling
Miryam S. Merk, Philipp Otto
http://arxiv.org/abs/2001.01532v1
• [stat.ME]A Spectral Hidden Markov Model for Nonstationary Oscillatory Processes
Beniamino Hadj-Amar, Barbel Finkenstadt, Mark Fiecas, Robert Huckstepp
http://arxiv.org/abs/2001.01676v1
• [stat.ME]Closed testing with Globaltest with applications on metabolomics data
Ningning Xu, Aldo solari, Jelle Goeman
http://arxiv.org/abs/2001.01541v1
• [stat.ME]Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari
http://arxiv.org/abs/2001.00980v1
• [stat.ME]On the definition of a concentration function relevant to the ROC curve
Mauro Gasparini, Lidia Sacchetto
http://arxiv.org/abs/2001.00944v1
• [stat.ME]Permutation testing in high-dimensional linear models: an empirical investigation
Jesse Hemerik, Magne Thoresen, Livio Finos
http://arxiv.org/abs/2001.01466v1
• [stat.ME]Prediction in locally stationary time series
Holger Dette, Weichi Wu
http://arxiv.org/abs/2001.00419v2
• [stat.ME]Scalable Estimation and Inference with Large-scale or Online Survival Data
Jinfeng Xu, Zhiliang Ying, Na Zh
1000
ao
http://arxiv.org/abs/2001.01434v1
• [stat.ML]Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
Julien Brajard, Alberto Carassi, Marc Bocquet, Laurent Bertino
http://arxiv.org/abs/2001.01520v1
• [stat.ML]Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment
Muneki Yasuda, Yeo Xian En, Seishirou Ueno
http://arxiv.org/abs/2001.01433v1
• [stat.ML]High-Dimensional Independence Testing and Maximum Marginal Correlation
Cencheng Shen
http://arxiv.org/abs/2001.01095v1
• [stat.ML]MREC: a fast and versatile framework for aligning and matching data with applications to single cell molecular data
Andrew J. Blumberg, Mathieu Carriere, Michael A. Mandell, Raul Rabadan, Soledad Villar
http://arxiv.org/abs/2001.01666v1
• [stat.ML]Variational Bayesian Methods for Stochastically Constrained System Design Problems
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
http://arxiv.org/abs/2001.01404v1
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