astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.OH - 其他CS
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
cs.SY - 系统与控制
eess.IV - 图像与视频处理
math.NA - 数值分析
math.PR - 概率
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
physics.med-ph - 医学物理学
physics.soc-ph - 物理学与社会
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves
• [astro-ph.IM]NEARBY Platform for Automatic Asteroids Detection and EURONEAR Surveys
• [cs.AI]Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes
• [cs.AI]Generating Difficult SAT Instances by Preventing Triangles
• [cs.AI]Improving Skin Condition Classification with a Visual Symptom Checker trained using Reinforcement Learning
• [cs.AI]Let's Play Mahjong!
• [cs.AI]Three-Way Decisions-Based Conflict Analysis Models
• [cs.CL]Context-Aware Crosslingual Mapping
• [cs.CL]Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
• [cs.CL]Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
• [cs.CL]Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
• [cs.CL]Towards Time-Aware Distant Supervision for Relation Extraction
• [cs.CV]3DN: 3D Deformation Network
• [cs.CV]A Three-Player GAN: Generating Hard Samples To Improve Classification Networks
• [cs.CV]Auto-Encoding Progressive Generative Adversarial Networks For 3D Multi Object Scenes
• [cs.CV]CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
• [cs.CV]Complex Valued Gated Auto-encoder for Video Frame Prediction
• [cs.CV]DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs
• [cs.CV]Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
• [cs.CV]FastDepth: Fast Monocular Depth Estimation on Embedded Systems
• [cs.CV]Geometry-Aware Graph Transforms for Light Field Compact Representation
• [cs.CV]ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records
• [cs.CV]Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
• [cs.CV]Knowledge-Embedded Routing Network for Scene Graph Generation
• [cs.CV]Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
• [cs.CV]Learning from Synthetic Data for Crowd Counting in the Wild
• [cs.CV]Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images
• [cs.CV]On Boosting Semantic Street Scene Segmentation with Weak Supervision
• [cs.CV]OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras
• [cs.CV]Pattern Recognition in SAR Images using Fractional Random Fields and its Possible Application to the Problem of the Detection of Oil Spills in Open Sea
• [cs.CV]Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
• [cs.CV]Ranked List Loss for Deep Metric Learning
• [cs.CV]Root Identification in Minirhizotron Imagery with Multiple Instance Learning
• [cs.CV]Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
• [cs.CV]Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation
• [cs.CV]Unsupervised Data Imputation via Variational Inference of Deep Subspaces
• [cs.CV]Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
• [cs.CV]Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
• [cs.CV]Unsupervised Medical Image Translation Using Cycle-MedGAN
• [cs.CY]An Identification of Learners' Confusion through Language and Discourse Analysis
• [cs.CY]Benefits of AWS in Modern Cloud
• [cs.CY]Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia
• [cs.DC]Certifying Safety when Implementing Consensus
• [cs.DC]SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
• [cs.DC]Shallow Overlay Trees Suffice for High-Throughput Consensus
• [cs.DS]Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning
• [cs.GT]Impact of Social Learning on Privacy-Preserving Data Collection
• [cs.IT]Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing
• [cs.IT]Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design
• [cs.IT]Localizing an Unknown Number of mmW Transmitters Under Path Loss Model Uncertainties
• [cs.IT]Multiple-Relay Slotted ALOHA: Performance Analysis and Bounds
• [cs.IT]One-Bit Sigma-Delta MIMO Precoding
• [cs.IT]Secrecy Outage for Wireless Sensor Networks
• [cs.IT]Secrecy Outage of SWIPT in the Presence of Cooperating Eavesdroppers
• [cs.IT]Secret key distillation across a quantum wiretap channel under restricted eavesdropping
• [cs.IT]The GC-content of a family of cyclic codes with applications to DNA-codes
• [cs.LG]Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network
• [cs.LG]Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
• [cs.LG]Dyna-AIL : Adversarial Imitation Learning by Planning
• [cs.LG]Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
• [cs.LG]General Convolutional Sparse Coding with Unknown Noise
• [cs.LG]Inductive Transfer for Neural Architecture Optimization
• [cs.LG]Is Deeper Better only when Shallow is Good?
• [cs.LG]Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
• [cs.LG]Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
• [cs.LG]Learning Heuristics over Large Graphs via Deep Reinforcement Learning
• [cs.LG]Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
• [cs.LG]Low-Rank Tensor Completion via Tensor Ring with Balanced Unfolding
• [cs.LG]SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection
• [cs.MA]Incorporating social practices in BDI agent systems
• [cs.NE]Application of Genetic Algorithms to the Multiple Team Formation Problem
• [cs.NI]Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
• [cs.OH]Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing images
• [cs.RO]A Survey of Visuo-Haptic Simulation in Surgical Training
• [cs.RO]Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid
• [cs.RO]By Land, Air, or Sea: Multi-Domain Robot Communication Via Motion
• [cs.RO]Explicit-risk-aware Path Planning with Reward Maximization
• [cs.RO]FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments
• [cs.RO]Holdable Haptic Device for 4-DOF Motion Guidance
• [cs.RO]Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks
• [cs.RO]Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
• [cs.RO]Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
• [cs.RO]Performance evaluation of a foot-controlled human-robot interface
• [cs.RO]Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
• [cs.RO]Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments
• [cs.RO]The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments
• [cs.SD]A Deep Generative Model of Speech Complex Spectrograms
• [cs.SD]Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices
• [cs.SI]An Analysis of the Consequences of the General Data Protection Regulation (GDPR) on Social Network Research
• [cs.SI]Multi-Hot Compact Network Embedding
• [cs.SY]Development of an Autonomous Sanding Robot with Structured-Light Technology
• [eess.IV]Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
• [math.NA]Stable Backward Diffusion Models that Minimise Convex Energies
• [math.PR]On the asymptotic normality of persistent Betti numbers
• [math.ST]Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
• [math.ST]Local asymptotic normality for shape and periodicity of a signal in the drift of a degenerate diffusion with internal variables
• [math.ST]Nonparametric smoothing for extremal quantile regression with heavy tailed distributions
• [physics.data-an]Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm
• [physics.med-ph]Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
• [physics.soc-ph]Online division of labour: emergent structures in Open Source Software
• [q-fin.ST]Kernel Based Estimation of Spectral Risk Measures
• [quant-ph]A Quantum Observation Scheme Can Universally Identify Causalities from Correlations
• [stat.AP]Development and validation of computable Phenotype to Identify and Characterize Kidney Health in Adult Hospitalized Patients
• [stat.AP]Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
• [stat.ME]A New Exact Confidence Interval for the Difference of Two Binomial Proportions
• [stat.ME]Computer code validation via mixture model estimation
• [stat.ME]Connecting Bayes factor and the Region of Practical Equivalence (ROPE) Procedure for testing interval null hypothesis
• [stat.ME]Economic variable selection
• [stat.ML]Active learning for enumerating local minima based on Gaussian process derivatives
• [stat.ML]Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions
• [stat.ML]Rates of Convergence for Sparse Variational Gaussian Process Regression
• [stat.ML]Should we Reload Time Series Classification Performance Evaluation ? (a position paper)
• [stat.ML]Support and Invertibility in Domain-Invariant Representations
• [stat.ML]Understanding Sparse JL for Feature Hashing
·····································
• [astro-ph.IM]An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves
Christian Pieringer, Karim Pichara, Márcio Catelán, Pavlos Protopapas
http://arxiv.org/abs/1903.03254v1
• [astro-ph.IM]NEARBY Platform for Automatic Asteroids Detection and EURONEAR Surveys
Dorian Gorgan, Ovidiu Vaduvescu, Teodor Stefanut, Victor Bacu, Adrian Sabou, Denisa Copandean Balazs, Constantin Nandra, Costin Boldea, Afrodita Boldea, Marian Predatu, Viktoria Pinter, Adrian Stanica
http://arxiv.org/abs/1903.03479v1
• [cs.AI]Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
http://arxiv.org/abs/1903.03282v1
• [cs.AI]Generating Difficult SAT Instances by Preventing Triangles
Guillaume Escamocher, Barry O'Sullivan, Steven David Prestwich
http://arxiv.org/abs/1903.03592v1
• [cs.AI]Improving Skin Condition Classification with a Visual Symptom Checker trained using Reinforcement Learning
Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid
http://arxiv.org/abs/1903.03495v1
• [cs.AI]Let's Play Mahjong!
Sanjiang Li, Xueqing Yan
http://arxiv.org/abs/1903.03294v1
• [cs.AI]Three-Way Decisions-Based Conflict Analysis Models
Guangming Lang
http://arxiv.org/abs/1903.03205v1
• [cs.CL]Context-Aware Crosslingual Mapping
Hanan Aldarmaki, Mona Diab
http://arxiv.org/abs/1903.03243v1
• [cs.CL]Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Shao Guang Lee, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen
http://arxiv.org/abs/1903.03530v1
• [cs.CL]Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
Amit Moryossef, Roee Aharoni, Yoav Goldberg
http://arxiv.org/abs/1903.03467v1
• [cs.CL]Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy
http://arxiv.org/abs/1903.03260v1
• [cs.CL]Towards Time-Aware Distant Supervision for Relation Extraction
Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin
http://arxiv.org/abs/1903.03289v1
• [cs.CV]3DN: 3D Deformation Network
Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann
http://arxiv.org/abs/1903.03322v1
• [cs.CV]A Three-Player GAN: Generating Hard Samples To Improve Classification Networks
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
http://arxiv.org/abs/1903.03496v1
• [cs.CV]Auto-Encoding Progressive Generative Adversarial Networks For 3D Multi Object Scenes
Vedant Singh, Manan Oza, Himanshu Vaghela, Pratik Kanani
http://arxiv.org/abs/1903.03477v1
• [cs.CV]CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach
http://arxiv.org/abs/1903.03166v1
• [cs.CV]Complex Valued Gated Auto-encoder for Video Frame Prediction
Niloofar Azizi, Nils Wandel, Sven Behnke
http://arxiv.org/abs/1903.03336v1
• [cs.CV]DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs
Ksenia Bittner, Marco Körner, Peter Reinartz
http://arxiv.org/abs/1903.03519v1
• [cs.CV]Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
http://arxiv.org/abs/1903.03299v1
• [cs.CV]FastDepth: Fast Monocular Depth Estimation on Embedded Systems
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze
http://arxiv.org/abs/1903.03273v1
• [cs.CV]Geometry-Aware Graph Transforms for Light Field Compact Representation
Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot
http://arxiv.org/abs/1903.03556v1
• [cs.CV]ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records
Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki
http://arxiv.org/abs/1903.03341v1
• [cs.CV]Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante
http://arxiv.org/abs/1903.03445v1
• [cs.CV]Knowledge-Embedded Routing Network for Scene Graph Generation
Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
http://arxiv.org/abs/1903.03326v1
• [cs.CV]Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh
http://arxiv.org/abs/1903.03295v1
• [cs.CV]Learning from Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan
http://arxiv.org/abs/1903.03303v1
• [cs.CV]Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images
Mia Kokic, Danica Kragic, Jeannette Bohg
http://arxiv.org/abs/1903.03340v1
• [cs.CV]On Boosting Semantic Street Scene Segmentation with Weak Supervision
Panagiotis Meletis, Gijs Dubbelman
http://arxiv.org/abs/1903.03462v1
• [cs.CV]OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras
David Castells-Rufas, Jordi Carrabina
http://arxiv.org/abs/1903.03509v1
• [cs.CV]Pattern Recognition in SAR Images using Fractional Random Fields and its Possible Application to the Problem of the Detection of Oil Spills in Open Sea
Agustín Mailing, Segundo A. Molina, José L. Hamkalo, Fernando R. Dobarro, Juan M. Medina, Bruno Cernuschi-Frías, Daniel A. Fernández, Érica Schlaps
http://arxiv.org/abs/1903.03221v1
• [cs.CV]Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
Mira Rizkallah, Thomas Maugey, Christine Guillemot
http://arxiv.org/abs/1903.03546v1
• [cs.CV]Ranked List Loss for Deep Metric Learning
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson
http://arxiv.org/abs/1903.03238v1
• [cs.CV]Root Identification in Minirhizotron Imagery with Multiple Instance Learning
Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala, Joel Reyes-Cabrera, Felix B. Frischi, Thomas E. Juenger
http://arxiv.org/abs/1903.03207v1
• [cs.CV]Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Anjan Dutta, Zeynep Akata
http://arxiv.org/abs/1903.03372v1
• [cs.CV]Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
http://arxiv.org/abs/1903.03313v1
• [cs.CV]Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian V. Dalca, John Guttag, Mert R. Sabuncu
http://arxiv.org/abs/1903.03503v1
• [cs.CV]Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulo, Nicu Sebe, Elisa Ricci
http://arxiv.org/abs/1903.03215v1
• [cs.CV]Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu
http://arxiv.org/abs/1903.03545v1
• [cs.CV]Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang
http://arxiv.org/abs/1903.03374v1
• [cs.CY]An Identification of Learners' Confusion through Language and Discourse Analysis
Thushari Atapattu, Katrina Falkner, Menasha Thilakaratne, Lavendini Sivaneasharajah, Rangana Jayashanka
http://arxiv.org/abs/1903.03286v1
• [cs.CY]Benefits of AWS in Modern Cloud
Sourav Mukherjee
http://arxiv.org/abs/1903.03219v1
• [cs.CY]Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia
Swati Goel, Ashton Anderson, Leila Zia
http://arxiv.org/abs/1903.03308v1
• [cs.DC]Certifying Safety when Implementing Consensus
Aurojit Panda
http://arxiv.org/abs/1903.03501v1
• [cs.DC]SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
Beidi Chen, Tharun Medini, Anshumali Shrivastava
http://arxiv.org/abs/1903.03129v1
• [cs.DC]Shallow Overlay Trees Suffice for High-Throughput Consensus
Hao Tan, Wojciech Golab
http://arxiv.org/abs/1903.03164v1
• [cs.DS]Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning
Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang
http://arxiv.org/abs/1903.03404v1
• [cs.GT]Impact of Social Learning on Privacy-Preserving Data Collection
Abdullah Basar Akbay, Weina Wang, Junshan Zhang
http://arxiv.org/abs/1903.03165v1
• [cs.IT]Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing
Guanping Lu, Jinsong Wu, Robert C. Qiu
http://arxiv.org/abs/1903.03241v1
• [cs.IT]Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink
http://arxiv.org/abs/1903.03128v1
• [cs.IT]Localizing an Unknown Number of mmW Transmitters Under Path Loss Model Uncertainties
Ehsan Zandi, Rudolf Mathar
http://arxiv.org/abs/1903.03517v1
• [cs.IT]Multiple-Relay Slotted ALOHA: Performance Analysis and Bounds
Andrea Munari, Federico Clazzer, Gianluigi Liva, Michael Heindlmaier
http://arxiv.org/abs/1903.03420v1
• [cs.IT]One-Bit Sigma-Delta MIMO Precoding
Mingjie Shao, Wing-Kin Ma, Qiang Li, Lee Swindlehurst
http://arxiv.org/abs/1903.03319v1
• [cs.IT]Secrecy Outage for Wireless Sensor Networks
Furqan Jameel, Shurjeel Wyne, Ioannis Krikidis
http://arxiv.org/abs/1903.03347v1
• [cs.IT]Secrecy Outage of SWIPT in the Presence of Cooperating Eavesdroppers
Furqan Jameel, Shurjeel Wyne
http://arxiv.org/abs/1903.03522v1
• [cs.IT]Secret key distillation across a quantum wiretap channel under restricted eavesdropping
Ziwen Pan, Kaushik P. Seshadreesan, William Clark, Mark R. Adcock, Ivan B. Djordjevic, Jeffrey H. Shapiro, Saikat Guha
http://arxiv.org/abs/1903.03136v1
• [cs.IT]The GC-content of a family of cyclic codes with applications to DNA-codes
Josu Sangroniz, Luis Martínez
http://arxiv.org/abs/1903.03535v1
• [cs.LG]Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network
Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta
http://arxiv.org/abs/1903.03348v1
• [cs.LG]Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
Mikel Elkano, Humberto Bustince, Mikel Galar
http://arxiv.org/abs/1903.03324v1
• [cs.LG]Dyna-AIL : Adversarial Imitation Learning by Planning
Vaibhav Saxena, Srinivasan Sivanandan, Pulkit Mathur
http://arxiv.org/abs/1903.03234v1
• [cs.LG]Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Vikram Venkatraghavan, Florian Dubost, Esther E. Bron, Wiro J. Niessen, Marleen de Bruijne, Stefan Klein
http://arxiv.org/abs/1903.03386v1
• [cs.LG]General Convolutional Sparse Coding with Unknown Noise
Yaqing Wang, James T. Kwok, Lionel M. Ni
http://arxiv.org/abs/1903.03253v1
• [cs.LG]Inductive Transfer for Neural Architecture Optimization
Martin Wistuba, Tejaswini Pedapati
http://arxiv.org/abs/1903.03536v1
• [cs.LG]Is Deeper Better only when Shallow is Good?
Eran Malach, Shai Shalev-Shwartz
http://arxiv.org/abs/1903.03488v1
• [cs.LG]Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning
Babak Hosseini, Barbara Hammer
http://arxiv.org/abs/1903.03364v1
• [cs.LG]Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
Alex Kearney, Vivek Veeriah, Jaden Travnik, Patrick M. Pilarski, Richard S. Sutton
http://arxiv.org/abs/1903.03252v1
• [cs.LG]Learning Heuristics over Large Graphs via Deep Reinforcement Learning
Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj Singh
http://arxiv.org/abs/1903.03332v1
• [cs.LG]Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Dong Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
http://arxiv.org/abs/1903.03216v1
• [cs.LG]Low-Rank Tensor Completion via Tensor Ring with Balanced Unfolding
Huyan Huang, Yipeng Liu, Ce Zhu
http://arxiv.org/abs/1903.03315v1
• [cs.LG]SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
http://arxiv.org/abs/1903.03232v1
• [cs.MA]Incorporating social practices in BDI agent systems
Stephen Cranefield, Frank Dignum
http://arxiv.org/abs/1903.03189v1
• [cs.NE]Application of Genetic Algorithms to the Multiple Team Formation Problem
Jose G. M. Esgario, Iago E. da Silva, Renato A. Krohling
http://arxiv.org/abs/1903.03523v1
• [cs.NI]Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng
http://arxiv.org/abs/1903.03472v1
• [cs.OH]Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing images
Dong-dong Zhang, Lei Zhang, Vladimir Zaborovsky, Feng Xie, Yan-wen Wu, Ting-ting Lu
http://arxiv.org/abs/1903.03412v1
• [cs.RO]A Survey of Visuo-Haptic Simulation in Surgical Training
Felix G. Hamza-Lup, Crenguta M. Bogdan, Dorin M. Popovici, Ovidiu D. Costea
http://arxiv.org/abs/1903.03272v1
• [cs.RO]Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid
Jasmin James, Jason J. Ford, Timothy L. Molloy
http://arxiv.org/abs/1903.03275v1
• [cs.RO]By Land, Air, or Sea: Multi-Domain Robot Communication Via Motion
Michael Fulton, Mustaf Ahmed, Junaed Sattar
http://arxiv.org/abs/1903.03134v1
• [cs.RO]Explicit-risk-aware Path Planning with Reward Maximization
Xuesu Xiao, Jan Dufek, Robin Murphy
http://arxiv.org/abs/1903.03187v1
• [cs.RO]FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, Jonathan P. How
http://arxiv.org/abs/1903.03558v1
• [cs.RO]Holdable Haptic Device for 4-DOF Motion Guidance
Julie M. Walker, Nabil Zemiti, Philippe Poignet, Allison M. Okamura
http://arxiv.org/abs/1903.03150v1
• [cs.RO]Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks
Daniel Molina, Kislay Kumar, Siddharth Srivastava
http://arxiv.org/abs/1903.03258v1
• [cs.RO]Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
Justin Lin, Roberto Calandra, Sergey Levine
http://arxiv.org/abs/1903.03591v1
• [cs.RO]Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
Stephen Hausler, Adam Jacobson, Michael Milford
http://arxiv.org/abs/1903.03305v1
• [cs.RO]Performance evaluation of a foot-controlled human-robot interface
Yanpei Huang, Etienne Burdet, Lin Cao, Phuoc Thien Phan, Anthony Meng Huat Tiong, Pai Zheng, Soo Jay Phee
http://arxiv.org/abs/1903.03266v1
• [cs.RO]Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Bohan Wu, Iretiayo Akinola, Peter K. Allen
http://arxiv.org/abs/1903.03227v1
• [cs.RO]Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments
Yogesh Girdhar, Levi Cai, Stewart Jamieson, Nathan McGuire, Genevieve Flaspohler, Stefano Suman, Brian Claus
http://arxiv.org/abs/1903.03214v1
• [cs.RO]The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments
Aniket Bera, Tanmay Randhavane, Rohan Prinja, Kyra Kapsaskis, Austin Wang, Kurt Gray, Dinesh Manocha
http://arxiv.org/abs/1903.03217v1
• [cs.SD]A Deep Generative Model of Speech Complex Spectrograms
Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii
http://arxiv.org/abs/1903.03269v1
• [cs.SD]Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices
Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii
http://arxiv.org/abs/1903.03237v1
• [cs.SI]An Analysis of the Consequences of the General Data Protection Regulation (GDPR) on Social Network Research
Andreas Kotsios, Matteo Magnani, Luca Rossi, Irina Shklovski, Davide Vega
http://arxiv.org/abs/1903.03196v1
• [cs.SI]Multi-Hot Compact Network Embedding
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li
http://arxiv.org/abs/1903.03213v1
• [cs.SY]Development of an Autonomous Sanding Robot with Structured-Light Technology
Yingxin Huo, Diancheng Chen, Xiang Li, Peng Li, Yun-Hui Liu
http://arxiv.org/abs/1903.03318v1
• [eess.IV]Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst T. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken
http://arxiv.org/abs/1903.03349v1
• [math.NA]Stable Backward Diffusion Models that Minimise Convex Energies
Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk
http://arxiv.org/abs/1903.03491v1
• [math.PR]On the asymptotic normality of persistent Betti numbers
Johannes T. N. Krebs, Wolfgang Polonik
http://arxiv.org/abs/1903.03280v1
• [math.ST]Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
Xuan Cao, Kshitij Khare, Malay Ghosh
http://arxiv.org/abs/1903.03531v1
• [math.ST]Local asymptotic normality for shape and periodicity of a signal in the drift of a degenerate diffusion with internal variables
Simon Holbach
http://arxiv.org/abs/1903.03440v1
• [math.ST]Nonparametric smoothing for extremal quantile regression with heavy tailed distributions
Takuma Yoshida
http://arxiv.org/abs/1903.03242v1
• [physics.data-an]Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm
Marie-Agathe Charpagne, Florian Strub, Tresa M. Pollock
http://arxiv.org/abs/1903.02988v2
• [physics.med-ph]Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Tim J. Adler, Lynton Ardizzone, Anant Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
http://arxiv.org/abs/1903.03441v1
• [physics.soc-ph]Online division of labour: emergent structures in Open Source Software
María J. Palazzi, Jordi Cabot, Javier Luis Cánovas Izquierdo, Albert Solé-Ribalta, Javier Borge-Holthoefer
http://arxiv.org/abs/1903.03375v1
• [q-fin.ST]Kernel Based Estimation of Spectral Risk Measures
Suparna Biswas, Rituparna Sen
http://arxiv.org/abs/1903.03304v1
• [quant-ph]A Quantum Observation Scheme Can Universally Identify Causalities from Correlations
Chenguang Zhang, Yuexian Hou, Dawei Song
http://arxiv.org/abs/1903.03449v1
• [stat.AP]Development and validation of computable Phenotype to Identify and Characterize Kidney Health in Adult Hospitalized Patients
Tezcan Ozrazgat-Baslanti, Charles Hobson, Amir Motaei, Rubab Islam, Haleh Hashemighouchani, Matthew Ruppert, R. W. M. A. Madushani, Mark S. Segal, Gloria Lipori, Azra Bihorac
http://arxiv.org/abs/1903.03149v1
• [stat.AP]Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences
Tian Zheng, Jing Wu, James Curley
http://arxiv.org/abs/1903.03223v1
• [stat.ME]A New Exact Confidence Interval for the Difference of Two Binomial Proportions
Wojciech Zieliński
http://arxiv.org/abs/1903.03327v1
• [stat.ME]Computer code validation via mixture model estimation
Kaniav Kamary, Merlin Keller, Pierre Barbillon, Cédric Gœury, Éric Parent
http://arxiv.org/abs/1903.03387v1
• [stat.ME]Connecting Bayes factor and the Region of Practical Equivalence (ROPE) Procedure for testing interval null hypothesis
J. G. Liao, Vishal Midya, Arthur Berg
http://arxiv.org/abs/1903.03153v1
• [stat.ME]Economic variable selection
Steven N. MacEachern, Koji Miyawaki
http://arxiv.org/abs/1903.02136v2
• [stat.ML]Active learning for enumerating local minima based on Gaussian process derivatives
Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
http://arxiv.org/abs/1903.03279v1
• [stat.ML]Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions
Malik Tiomoko, Romain Couillet
http://arxiv.org/abs/1903.03447v1
• [stat.ML]Rates of Convergence for Sparse Variational Gaussian Process Regression
David R. Burt, Carl E. Rasmussen, Mark van der Wilk
http://arxiv.org/abs/1903.03571v1
• [stat.ML]Should we Reload Time Series Classification Performance Evaluation ? (a position paper)
Dominique Gay, Vincent Lemaire
http://arxiv.org/abs/1903.03300v1
• [stat.ML]Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson, Rajesh Ranganath, David Sontag
http://arxiv.org/abs/1903.03448v1
• [stat.ML]Understanding Sparse JL for Feature Hashing
Meena Jagadeesan
http://arxiv.org/abs/1903.03605v1
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