cs.AR - 硬件体系结构
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.HC - 人机接口 cs.IR - 信息检索 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.PF - 计算性能 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 econ.EM - 计量经济学 eess.SP - 信号处理 math.CO - 组合数学 math.ST - 统计理论 physics.med-ph - 医学物理学 q-bio.PE - 人口与发展 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
• [cs.AR]An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
• [cs.AR]High Performance Reconfigurable Computing Systems
• [cs.CL]A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
• [cs.CL]Advances in Natural Language Question Answering: A Review
• [cs.CL]BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
• [cs.CL]Better Word Embeddings by Disentangling Contextual n-Gram Information
• [cs.CL]CNM: An Interpretable Complex-valued Network for Matching
• [cs.CL]Characterizing the impact of geometric properties of word embeddings on task performance
• [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
• [cs.CL]Cross-lingual Visual Verb Sense Disambiguation
• [cs.CL]Data Selection with Cluster-Based Language Difference Models and Cynical Selection
• [cs.CL]Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
• [cs.CL]Detecting Cybersecurity Events from Noisy Short Text
• [cs.CL]From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
• [cs.CL]Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
• [cs.CL]NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
• [cs.CL]Performance Monitoring for End-to-End Speech Recognition
• [cs.CL]Simple BERT Models for Relation Extraction and Semantic Role Labeling
• [cs.CV]3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
• [cs.CV]3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
• [cs.CV]A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery
• [cs.CV]A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
• [cs.CV]Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
• [cs.CV]Actor-Critic Instance Segmentation
• [cs.CV]Back to the Future: Knowledge Distillation for Human Action Anticipation
• [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
• [cs.CV]Context-Aware Embeddings for Automatic Art Analysis
• [cs.CV]Contextual Attention for Hand Detection in the Wild
• [cs.CV]Convolutional Temporal Attention Model for Video-based Person Re-identification
• [cs.CV]Curriculum semi-supervised segmentation
• [cs.CV]DAVANet: Stereo Deblurring with View Aggregation
• [cs.CV]DSNet: An Efficient CNN for Road Scene Segmentation
• [cs.CV]Data Priming Network for Automatic Check-Out
• [cs.CV]Decorrelated Adversarial Learning for Age-Invariant Face Recognition
• [cs.CV]Deep Learning Inversion of Electrical Resistivity Data
• [cs.CV]Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
• [cs.CV]Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
• [cs.CV]Efficient Retrieval of Logos Using Rough Set Reducts
• [cs.CV]Egocentric Visitors Localization in Cultural Sites
• [cs.CV]Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
• [cs.CV]FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
• [cs.CV]Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning
• [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
• [cs.CV]Gait Recognition via Disentangled Representation Learning
• [cs.CV]H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
• [cs.CV]Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
• [cs.CV]Image Quality Assessment for Omnidirectional Cross-reference Stitching
• [cs.CV]Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
• [cs.CV]Instance Segmentation of Biological Images Using Harmonic Embeddings
• [cs.CV]Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
• [cs.CV]Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
• [cs.CV]Large-Scale Long-Tailed Recognition in an Open World
• [cs.CV]Localized Trajectories for 2D and 3D Action Recognition
• [cs.CV]Next-Active-Object prediction from Egocentric Videos
• [cs.CV]Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field
• [cs.CV]On zero-shot recognition of generic objects
• [cs.CV]POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
• [cs.CV]Person Re-identification with Metric Learning using Privileged Information
• [cs.CV]Predicting Novel Views Using Generative Adversarial Query Network
• [cs.CV]Rain O’er Me: Synthesizing real rain to derain with data distillation
• [cs.CV]Relational Knowledge Distillation
• [cs.CV]SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
• [cs.CV]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
• [cs.CV]Soft Conditional Computation
• [cs.CV]Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
• [cs.CV]StegaStamp: Invisible Hyperlinks in Physical Photographs
• [cs.CV]Text Guided Person Image Synthesis
• [cs.CV]ThumbNet: One Thumbnail Image Contains All You Need for Recognition
• [cs.CV]Towards High-fidelity Nonlinear 3D Face Morphable Model
• [cs.CV]Towards Universal Object Detection by Domain Attention
• [cs.CV]Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
• [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
• [cs.CY]Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis
• [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
• [cs.CY]Survey of ETA prediction methods in public transport networks
• [cs.DC]A Proposal for an Open Logistics Interconnection Reference Model for a Physical Internet
• [cs.DC]A Three-Level Parallelisation Scheme and Application to the Nelder-Mead Algorithm
• [cs.DC]Analyzes of the Distributed System Load with Multifractal Input Data Flows
• [cs.DC]Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
• [cs.DC]Application performance on a Cluster-Booster system
• [cs.HC]A Model for Using Physiological Conditions for Proactive Tourist Recommendations
• [cs.HC]Is Two Better than One? Effects of Multiple Agents on User Persuasion
• [cs.IR]AMRec: An Intelligent System for Academic Method Recommendation
• [cs.IR]Causal Embeddings for Recommendation: An Extended Abstract
• [cs.IT]Cache-Aided Interference Management with Subexponential Subpacketization
• [cs.IT]Cellular UAV-to-UAV Communications
• [cs.IT]Decentralized Pliable Index Coding
• [cs.IT]New Converse Bounds for Discrete Memoryless Channels in the Finite Blocklength Regime
• [cs.IT]On the $k$-error linear complexity of subsequences of $d$-ary Sidel’nikov sequences over prime field $\mathbb{F}_{d}$
• [cs.IT]On the Optimality of Gauss’s Algorithm over Euclidean Imaginary Quadratic Fields
• [cs.IT]On the Scalar-Help-Vector Source Coding Problem
• [cs.IT]Private Pliable Index Coding
• [cs.IT]Tensor Representation of Rank-Metric Codes
• [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
• [cs.LG]Black-box Adversarial Attacks on Video Recognition Models
• [cs.LG]Discovering patterns of online popularity from time series
• [cs.LG]Few-shot Learning: A Survey
• [cs.LG]Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review
• [cs.LG]Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
• [cs.LG]Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
• [cs.LG]Knowledge Squeezed Adversarial Network Compression
• [cs.LG]Multitask Hopfield Networks
• [cs.LG]SWNet: Small-World Neural Networks and Rapid Convergence
• [cs.LG]Universal Lipschitz Approximation in Bounded Depth Neural Networks
• [cs.LG]What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
• [cs.MA]Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks
• [cs.NE]A review on Neural Turing Machine
• [cs.NE]Black-Box Complexity of the Binary Value Function
• [cs.NE]Classification of Two-channel Signals by Means of Genetic Programming
• [cs.NE]Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
• [cs.NI]Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things
• [cs.PF]Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
• [cs.RO]Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm
• [cs.RO]Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
• [cs.RO]Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
• [cs.RO]Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics
• [cs.RO]Indoor Testing and Simulation Platform for Close-distance Visual Inspection of Complex Structures using Micro Quadrotor UAV
• [cs.RO]Novel Quadrotor Manipulation System
• [cs.RO]Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment
• [cs.SD]A Framework for Multi-f0 Modeling in SATB Choir Recordings
• [cs.SD]Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
• [cs.SD]An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
• [cs.SD]Distributed Deep Learning Strategies For Automatic Speech Recognition
• [cs.SD]Neuralogram: A Deep Neural Network Based Representation for Audio Signals
• [cs.SI]A Classification Algorithm to Recognize Fake News Websites
• [cs.SI]Adapting Stochastic Block Models to Power-Law Degree Distributions
• [cs.SI]An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs
• [cs.SI]Bayesian estimation of the latent dimension and communities in stochastic blockmodels
• [cs.SI]Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
• [cs.SI]Community Detection in Social Network using Temporal Data
• [cs.SI]Environmental Changes and the Dynamics of Musical Identity
• [cs.SI]Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
• [cs.SI]Nine Quick Tips for Analyzing Network Data
• [cs.SI]Understanding Information Flow in Cascades Using Network Motifs
• [cs.SY]Theory and implementation of event-triggered stabilization over digital channels
• [econ.EM]Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
• [econ.EM]Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods
• [eess.SP]Cell Discovery in Millimeter Wave Systems: Physical Layer Implementations
• [math.CO]Divergent permutations
• [math.ST]Extreme value theory based confidence intervals for the parameters of a symmetric Lévy-stable distribution
• [math.ST]Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
• [physics.med-ph]Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
• [q-bio.PE]Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set
• [q-bio.QM]Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
• [stat.AP]Association of night-waking and inattention/hyperactivity symptoms trajectories in preschool-aged children
• [stat.AP]Cord-blood vitamin D level and night sleep duration in preschoolers in the EDEN mother-child birth cohort
• [stat.AP]Early features associated with the neurocognitive development at 36 months of age: the AuBE study
• [stat.AP]Google Street View image of a house predicts car accident risk of its resident
• [stat.AP]Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher beliefs and practices
• [stat.AP]Night sleep duration trajectories and associated factors among preschool children from the EDEN cohort
• [stat.ME]A Nonparametric Normality Test for High-dimensional Data
• [stat.ME]A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
• [stat.ME]Ensemble updating of binary state vectors by maximising the expected number of unchanged components
• [stat.ME]Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
• [stat.ME]Network depth: identifying median and contours in complex networks
• [stat.ML]Active Learning for Decision-Making from Imbalanced Observational Data
• [stat.ML]Attraction-Repulsion clustering with applications to fairness
• [stat.ML]Enhancing Time Series Momentum Strategies Using Deep Neural Networks
• [stat.ML]Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
• [stat.ML]New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
• [stat.ML]Novel Uncertainty Framework for Deep Learning Ensembles
• [stat.ML]Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
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• [cs.AR]An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
Andreas Bytyn, Rainer Leupers, Gerd Ascheid
http://arxiv.org/abs/1904.05106v1
• [cs.AR]High Performance Reconfigurable Computing Systems
Issam Damaj
http://arxiv.org/abs/1904.04953v1
• [cs.CL]A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song
http://arxiv.org/abs/1904.05055v1
• [cs.CL]Advances in Natural Language Question Answering: A Review
K. S. D. Ishwari, A. K. R. R. Aneeze, S. Sudheesan, H. J. D. A. Karunaratne, A. Nugaliyadde, Y. Mallawarrachchi
http://arxiv.org/abs/1904.05276v1
• [cs.CL]BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
Yu Cao, Meng Fang, Dacheng Tao
http://arxiv.org/abs/1904.04969v1
• [cs.CL]Better Word Embeddings by Disentangling Contextual n-Gram Information
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi
http://arxiv.org/abs/1904.05033v1
• [cs.CL]CNM: An Interpretable Complex-valued Network for Matching
Qiuchi Li, Benyou Wang, Massimo Melucci
http://arxiv.org/abs/1904.05298v1
• [cs.CL]Characterizing the impact of geometric properties of word embeddings on task performance
Brendan Whitaker, Denis Newman-Griffis, Aparajita Haldar, Hakan Ferhatosmanoglu, Eric Fosler-Lussier
http://arxiv.org/abs/1904.04866v1
• [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
http://arxiv.org/abs/1904.05342v1
• [cs.CL]Cross-lingual Visual Verb Sense Disambiguation
Spandana Gella, Desmond Elliott, Frank Keller
http://arxiv.org/abs/1904.05092v1
• [cs.CL]Data Selection with Cluster-Based Language Difference Models and Cynical Selection
Lucía Santamaría, Amittai Axelrod
http://arxiv.org/abs/1904.04900v1
• [cs.CL]Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
Davy Weissenbacher, Abeed Sarker, Ari Klein, Karen O’Connor, Arjun Magge Ranganatha, Graciela Gonzalez-Hernandez
http://arxiv.org/abs/1904.05308v1
• [cs.CL]Detecting Cybersecurity Events from Noisy Short Text
Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli
http://arxiv.org/abs/1904.05054v1
• [cs.CL]From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
Yi-Chen Chen, Sung-Feng Huang, Hung-yi Lee, Lin-shan Lee
http://arxiv.org/abs/1904.05078v1
• [cs.CL]Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
http://arxiv.org/abs/1904.02496v2
• [cs.CL]NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
Alessandro Seganti, Helena Sobol, Iryna Orlova, Hannam Kim, Jakub Staniszewski, Tymoteusz Krumholc, Krystian Koziel
http://arxiv.org/abs/1904.05152v1
• [cs.CL]Performance Monitoring for End-to-End Speech Recognition
Ruizhi Li, Gregory Sell, Hynek Hermansky
http://arxiv.org/abs/1904.04896v1
• [cs.CL]Simple BERT Models for Relation Extraction and Semantic Role Labeling
Peng Shi, Jimmy Lin
http://arxiv.org/abs/1904.05255v1
• [cs.CV]3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
Sergey Zakharov, Wadim Kehl, Benjamin Planche, Andreas Hutter, Slobodan Ilic
http://arxiv.org/abs/1904.04854v1
• [cs.CV]3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye
http://arxiv.org/abs/1904.04412v2
• [cs.CV]A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery
Zhexiong Shang, Chongsheng Cheng, Zhigang Shen
http://arxiv.org/abs/1904.04986v1
• [cs.CV]A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
Yonatan Svirsky, Andrei Sharf
http://arxiv.org/abs/1904.04850v1
• [cs.CV]Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao
http://arxiv.org/abs/1904.05200v1
• [cs.CV]Actor-Critic Instance Segmentation
Nikita Araslanov, Constantin Rothkopf, Stefan Roth
http://arxiv.org/abs/1904.05126v1
• [cs.CV]Back to the Future: Knowledge Distillation for Human Action Anticipation
Vinh Tran, Yang Wang, Minh Hoai
http://arxiv.org/abs/1904.04868v1
• [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
http://arxiv.org/abs/1904.05059v1
• [cs.CV]Context-Aware Embeddings for Automatic Art Analysis
Noa Garcia, Benjamin Renoust, Yuta Nakashima
http://arxiv.org/abs/1904.04985v1
• [cs.CV]Contextual Attention for Hand Detection in the Wild
Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai
http://arxiv.org/abs/1904.04882v1
• [cs.CV]Convolutional Temporal Attention Model for Video-based Person Re-identification
Tanzila Rahman, Mrigank Rochan, Yang Wang
http://arxiv.org/abs/1904.04492v2
• [cs.CV]Curriculum semi-supervised segmentation
Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed
http://arxiv.org/abs/1904.05236v1
• [cs.CV]DAVANet: Stereo Deblurring with View Aggregation
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren
http://arxiv.org/abs/1904.05065v1
• [cs.CV]DSNet: An Efficient CNN for Road Scene Segmentation
Ping-Rong Chen, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin
http://arxiv.org/abs/1904.05022v1
• [cs.CV]Data Priming Network for Automatic Check-Out
Congcong Li, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Qi Tian, Longyin Wen, Siwei Lyu
http://arxiv.org/abs/1904.04978v1
• [cs.CV]Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu
http://arxiv.org/abs/1904.04972v1
• [cs.CV]Deep Learning Inversion of Electrical Resistivity Data
Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Lanbo Liu, Peng Jiang
http://arxiv.org/abs/1904.05265v1
• [cs.CV]Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
http://arxiv.org/abs/1904.04998v1
• [cs.CV]Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen, Haoqi Fang, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
http://arxiv.org/abs/1904.05049v1
• [cs.CV]Efficient Retrieval of Logos Using Rough Set Reducts
Ushasi Chaudhuri, Partha Bhowmick, Jayanta Mukhopadhyay
http://arxiv.org/abs/1904.05008v1
• [cs.CV]Egocentric Visitors Localization in Cultural Sites
Francesco Ragusa, Antonino Furnari, Sebastiano Battiato, Giovanni Signorello, Giovanni Maria Farinella
http://arxiv.org/abs/1904.05264v1
• [cs.CV]Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay, Paolo M. Guillen-Garcia, Jack W. Barker, Toby P. Breckon
http://arxiv.org/abs/1904.05304v1
• [cs.CV]FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Peng Chu, Haibin Ling
http://arxiv.org/abs/1904.04989v1
• [cs.CV]Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning
Muhammad Usman Ghani, W. Clem Karl
http://arxiv.org/abs/1904.04691v2
• [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng
http://arxiv.org/abs/1904.04975v1
• [cs.CV]Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
http://arxiv.org/abs/1904.04925v1
• [cs.CV]H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
Bugra Tekin, Federica Bogo, Marc Pollefeys
http://arxiv.org/abs/1904.05349v1
• [cs.CV]Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
Ruotent Li, Loong Fah Cheong, Robby T. Tan
http://arxiv.org/abs/1904.05050v1
• [cs.CV]Image Quality Assessment for Omnidirectional Cross-reference Stitching
Kaiwen Yu, Jia Li, Yu Zhang, Yifan Zhao, Long Xu
http://arxiv.org/abs/1904.04960v1
• [cs.CV]Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
Jiajie Tian, Zhu Teng, Rui Li, Yan Li, Baopeng Zhang, Jianping Fan
http://arxiv.org/abs/1904.05020v1
• [cs.CV]Instance Segmentation of Biological Images Using Harmonic Embeddings
Victor Kulikov, Victor Lempitsky
http://arxiv.org/abs/1904.05257v1
• [cs.CV]Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
http://arxiv.org/abs/1904.05290v1
• [cs.CV]Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
Kwang In Kim, Hyung Jin Chang
http://arxiv.org/abs/1904.05159v1
• [cs.CV]Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
http://arxiv.org/abs/1904.05160v1
• [cs.CV]Localized Trajectories for 2D and 3D Action Recognition
Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten
http://arxiv.org/abs/1904.05244v1
• [cs.CV]Next-Active-Object prediction from Egocentric Videos
Antonino Furnari, Sebastiano Battiato, Kristen Grauman, Giovanni Maria Farinella
http://arxiv.org/abs/1904.05250v1
• [cs.CV]Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field
Mingyuan Zhou, Yu Ji, Yuqi Ding, Jinwei Ye, S. Susan Young, Jingyi Yu
http://arxiv.org/abs/1904.04875v1
• [cs.CV]On zero-shot recognition of generic objects
Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi
http://arxiv.org/abs/1904.04957v1
• [cs.CV]POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method
Joao Campos, Joao R. Cardoso, Pedro Miraldo
http://arxiv.org/abs/1904.04858v1
• [cs.CV]Person Re-identification with Metric Learning using Privileged Information
Xun Yang, Meng Wang, Dacheng Tao
http://arxiv.org/abs/1904.05005v1
• [cs.CV]Predicting Novel Views Using Generative Adversarial Query Network
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Janne Heikkila
http://arxiv.org/abs/1904.05124v1
• [cs.CV]Rain O’er Me: Synthesizing real rain to derain with data distillation
Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John Paisley
http://arxiv.org/abs/1904.04605v2
• [cs.CV]Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
http://arxiv.org/abs/1904.05068v1
• [cs.CV]SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas
http://arxiv.org/abs/1904.05019v1
• [cs.CV]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang
http://arxiv.org/abs/1904.05003v1
• [cs.CV]Soft Conditional Computation
Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam
http://arxiv.org/abs/1904.04971v1
• [cs.CV]Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li, Kui Fu, Shengwei Zhao, Shiming Ge
http://arxiv.org/abs/1904.04992v1
• [cs.CV]StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik, Ben Mildenhall, Ren Ng
http://arxiv.org/abs/1904.05343v1
• [cs.CV]Text Guided Person Image Synthesis
Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang
http://arxiv.org/abs/1904.05118v1
• [cs.CV]ThumbNet: One Thumbnail Image Contains All You Need for Recognition
Chen Zhao, Bernard Ghanem
http://arxiv.org/abs/1904.05034v1
• [cs.CV]Towards High-fidelity Nonlinear 3D Face Morphable Model
Luan Tran, Feng Liu, Xiaoming Liu
http://arxiv.org/abs/1904.04933v1
• [cs.CV]Towards Universal Object Detection by Domain Attention
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
http://arxiv.org/abs/1904.04402v2
• [cs.CV]Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
http://arxiv.org/abs/1904.05044v1
• [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
Beatrice Demiray, Julia Rackerseder, Stevica Bozhinoski, Nassir Navab
http://arxiv.org/abs/1904.05191v1
• [cs.CY]Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis
Henok Yared Agizew
http://arxiv.org/abs/1904.04937v1
• [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
Aaron Dant, Philip Feldman, Wayne Lutters
http://arxiv.org/abs/1904.05216v1
• [cs.CY]Survey of ETA prediction methods in public transport networks
Thilo Reich, Marcin Budka, Derek Robbins, David Hulbert
http://arxiv.org/abs/1904.05037v1
• [cs.DC]A Proposal for an Open Logistics Interconnection Reference Model for a Physical Internet
Jean-Yves Colin, Hervé Mathieu, Moustafa Nakechbandi
http://arxiv.org/abs/1904.05069v1
• [cs.DC]A Three-Level Parallelisation Scheme and Application to the Nelder-Mead Algorithm
Rima Kriauzienė, Andrej Bugajev, Raimondas Čiegis
http://arxiv.org/abs/1904.05208v1
• [cs.DC]Analyzes of the Distributed System Load with Multifractal Input Data Flows
Kirichenko Lyudmyla, Radivilova Tamara
http://arxiv.org/abs/1904.05218v1
• [cs.DC]Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
Dylan Chapp, Danny Rorabaugh, Duncan Brown, Ewa Deelman, Karan Vahi, Von Welch, Michela Taufer
http://arxiv.org/abs/1904.05211v1
• [cs.DC]Application performance on a Cluster-Booster system
Anke Kreuzer, Jorge Amaya, Norbert Eicker, Estela Suarez
http://arxiv.org/abs/1904.05275v1
• [cs.HC]A Model for Using Physiological Conditions for Proactive Tourist Recommendations
Rinita Roy, Linus W. Dietz
http://arxiv.org/abs/1904.05247v1
• [cs.HC]Is Two Better than One? Effects of Multiple Agents on User Persuasion
Reshmashree B. Kantharaju, Dominic De Franco, Alison Pease, Catherine Pelachaud
http://arxiv.org/abs/1904.05248v1
• [cs.IR]AMRec: An Intelligent System for Academic Method Recommendation
Shanshan Huang, Xiaojun Wan, Xuewei Tang
http://arxiv.org/abs/1904.04995v1
• [cs.IR]Causal Embeddings for Recommendation: An Extended Abstract
Stephen Bonner, Flavian Vasile
http://arxiv.org/abs/1904.05165v1
• [cs.IT]Cache-Aided Interference Management with Subexponential Subpacketization
Hari Hara Suthan Chittoor, K V Sushena Sree, Prasad Krishnan
http://arxiv.org/abs/1904.05213v1
• [cs.IT]Cellular UAV-to-UAV Communications
M. Mahdi Azari, Giovanni Geraci, Adrian Garcia-Rodriguez, Sofie Pollin
http://arxiv.org/abs/1904.05104v1
• [cs.IT]Decentralized Pliable Index Coding
Tang Liu, Daniela Tuninetti
http://arxiv.org/abs/1904.05272v1
• [cs.IT]New Converse Bounds for Discrete Memoryless Channels in the Finite Blocklength Regime
Yasutada Oohama
http://arxiv.org/abs/1904.04894v1
• [cs.IT]On the $k$-error linear complexity of subsequences of $d$-ary Sidel’nikov sequences over prime field $\mathbb{F}_{d}$
Minghui Yang, Jiejing Wen
http://arxiv.org/abs/1904.05083v1
• [cs.IT]On the Optimality of Gauss’s Algorithm over Euclidean Imaginary Quadratic Fields
Christian Porter, Shanxiang Lyu, Cong Ling
http://arxiv.org/abs/1904.05285v1
• [cs.IT]On the Scalar-Help-Vector Source Coding Problem
C. Deng, S. Wu, Q. Zhang
http://arxiv.org/abs/1904.05179v1
• [cs.IT]Private Pliable Index Coding
Tang Liu, Daniela Tuninetti
http://arxiv.org/abs/1904.04468v2
• [cs.IT]Tensor Representation of Rank-Metric Codes
Eimear Byrne, Alessandro Neri, Alberto Ravagnani, John Sheekey
http://arxiv.org/abs/1904.05227v1
• [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
Weinan E, Chao Ma, Lei Wu
http://arxiv.org/abs/1904.05263v1
• [cs.LG]Black-box Adversarial Attacks on Video Recognition Models
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
http://arxiv.org/abs/1904.05181v1
• [cs.LG]Discovering patterns of online popularity from time series
Mert Ozer, Anna Sapienza, Andrés Abeliuk, Goran Muric, Emilio Ferrara
http://arxiv.org/abs/1904.04994v1
• [cs.LG]Few-shot Learning: A Survey
Yaqing Wang, Quanming Yao
http://arxiv.org/abs/1904.05046v1
• [cs.LG]Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review
Maria Bampa
http://arxiv.org/abs/1904.04940v1
• [cs.LG]Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
http://arxiv.org/abs/1904.04990v1
• [cs.LG]Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
http://arxiv.org/abs/1904.04849v1
• [cs.LG]Knowledge Squeezed Adversarial Network Compression
Shu Changyong, Li Peng, Xie Yuan, Qu Yanyun, Dai Longquan, Ma Lizhuang
http://arxiv.org/abs/1904.05100v1
• [cs.LG]Multitask Hopfield Networks
Marco Frasca, Giuliano Grossi, Giorgio Valentini
http://arxiv.org/abs/1904.05098v1
• [cs.LG]SWNet: Small-World Neural Networks and Rapid Convergence
Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar
http://arxiv.org/abs/1904.04862v1
• [cs.LG]Universal Lipschitz Approximation in Bounded Depth Neural Networks
Jeremy E. J. Cohen, Todd Huster, Ra Cohen
http://arxiv.org/abs/1904.04861v1
• [cs.LG]What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
http://arxiv.org/abs/1904.05233v1
• [cs.MA]Modelling Social Care Provision in An Agent-Based Framework with Kinship Networks
Umberto Gostoli, Eric Silverman
http://arxiv.org/abs/1904.05267v1
• [cs.NE]A review on Neural Turing Machine
Soroor Malekmohammadi Faradonbeh, Faramarz Safi-Esfahani
http://arxiv.org/abs/1904.05061v1
• [cs.NE]Black-Box Complexity of the Binary Value Function
Nina Bulanova, Maxim Buzdalov
http://arxiv.org/abs/1904.04867v1
• [cs.NE]Classification of Two-channel Signals by Means of Genetic Programming
Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, Alejandro Pazos
http://arxiv.org/abs/1904.05027v1
• [cs.NE]Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process
Jaza M. Abdullah, Tarik A. Rashid
http://arxiv.org/abs/1904.05226v1
• [cs.NI]Designing Sensing as a Service (S2aaS) Ecosystem for Internet of Things
Charith Perera, Mahmoud Barhamgi, Suparna De, Tim Baarslag, Massimo Vecchio, Kim-Kwang Raymond Choo
http://arxiv.org/abs/1904.05023v1
• [cs.PF]Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels
John Lawson, Mehdi Goli, Duncan McBain, Daniel Soutar, Louis Sugy
http://arxiv.org/abs/1904.05347v1
• [cs.RO]Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm
Igor Spasojevic, Varun Murali, Sertac Karaman
http://arxiv.org/abs/1904.04968v1
• [cs.RO]Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
Jean-François Tremblay, Martin Béland, François Pomerleau, Richard Gagnon, Philippe Giguère
http://arxiv.org/abs/1904.05281v1
• [cs.RO]Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
Jing Xu, Zhimin Hou, Zhi Liu, Hong Qiao
http://arxiv.org/abs/1904.05240v1
• [cs.RO]Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics
Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, Nicolas Mansard
http://arxiv.org/abs/1904.05072v1
• [cs.RO]Indoor Testing and Simulation Platform for Close-distance Visual Inspection of Complex Structures using Micro Quadrotor UAV
Zhexiong Shang, Zhigang Shen
http://arxiv.org/abs/1904.05271v1
• [cs.RO]Novel Quadrotor Manipulation System
Ahmed Khalifa
http://arxiv.org/abs/1904.05090v1
• [cs.RO]Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment
Zhexiong Shang, Zhigang Shen
http://arxiv.org/abs/1904.04987v1
• [cs.SD]A Framework for Multi-f0 Modeling in SATB Choir Recordings
Helena Cuesta, Emilia Gómez, Pritish Chandna
http://arxiv.org/abs/1904.05086v1
• [cs.SD]Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
Hongwei Song, Jiqing Han, Shiwen Deng, Zhihao Du
http://arxiv.org/abs/1904.05204v1
• [cs.SD]An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
Charles P Martin, Jim Torresen
http://arxiv.org/abs/1904.05009v1
• [cs.SD]Distributed Deep Learning Strategies For Automatic Speech Recognition
Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung, Michael Picheny
http://arxiv.org/abs/1904.04956v1
• [cs.SD]Neuralogram: A Deep Neural Network Based Representation for Audio Signals
Prateek Verma, Chris Chafe, Jonathan Berger
http://arxiv.org/abs/1904.05073v1
• [cs.SI]A Classification Algorithm to Recognize Fake News Websites
Davide Bennato, Giuseppe Pernagallo, Benedetto Torrisi
http://arxiv.org/abs/1904.05305v1
• [cs.SI]Adapting Stochastic Block Models to Power-Law Degree Distributions
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
http://arxiv.org/abs/1904.05335v1
• [cs.SI]An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs
Xiangyu Ke, Arijit Khan, Leroy Lim Hong Quan
http://arxiv.org/abs/1904.05300v1
• [cs.SI]Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Francesco Sanna Passino, Nicholas A. Heard
http://arxiv.org/abs/1904.05333v1
• [cs.SI]Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi
http://arxiv.org/abs/1904.05132v1
• [cs.SI]Community Detection in Social Network using Temporal Data
Victor Stany Rozario, A. Z. M. Ehtesham Chowdhury, Muhammad Sarwar Jahan Morshed
http://arxiv.org/abs/1904.05291v1
• [cs.SI]Environmental Changes and the Dynamics of Musical Identity
Samuel F. Way, Santiago Gil, Ian Anderson, Aaron Clauset
http://arxiv.org/abs/1904.04948v1
• [cs.SI]Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
http://arxiv.org/abs/1904.04381v2
• [cs.SI]Nine Quick Tips for Analyzing Network Data
Vincent Miele, Catherine Matias, Stephane Robin, Stéphane Dray
http://arxiv.org/abs/1904.05334v1
• [cs.SI]Understanding Information Flow in Cascades Using Network Motifs
Soumajyoti Sarkar, Hamidreza Alvari, Paulo Shakarian
http://arxiv.org/abs/1904.05161v1
• [cs.SY]Theory and implementation of event-triggered stabilization over digital channels
Mohammad Javad Khojasteh, Mojtaba Hedayatpour, Massimo Franceschetti
http://arxiv.org/abs/1904.05016v1
• [econ.EM]Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
Dennis Kristensen, Young Jun Lee
http://arxiv.org/abs/1904.05209v1
• [econ.EM]Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods
Dennis Kristensen, Patrick K. Mogensen, Jong Myun Moon, Bertel Schjerning
http://arxiv.org/abs/1904.05232v1
• [eess.SP]Cell Discovery in Millimeter Wave Systems: Physical Layer Implementations
Rashmi P, Manoj A, Arun Pachai Kannu
http://arxiv.org/abs/1904.05014v1
• [math.CO]Divergent permutations
Emanuela Fachini, János Körner
http://arxiv.org/abs/1904.05113v1
• [math.ST]Extreme value theory based confidence intervals for the parameters of a symmetric Lévy-stable distribution
Djamel Meraghni, Louiza Soltane
http://arxiv.org/abs/1904.04863v1
• [math.ST]Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
M. N. M. van Lieshout
http://arxiv.org/abs/1904.05095v1
• [physics.med-ph]Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Vladislav Orekhov, Zhong Chen
http://arxiv.org/abs/1904.05168v1
• [q-bio.PE]Nowcasting Influenza Incidence with CDC Web Traffic Data: A Demonstration Using a Novel Data Set
Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle
http://arxiv.org/abs/1904.04931v1
• [q-bio.QM]Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
Carlos Fernandez-Lozano, Ruben F. Cuinas, Jose A. Seoane, Enrique Fernandez-Blanco, Julian Dorado, Cristian R. Munteanu
http://arxiv.org/abs/1904.05052v1
• [stat.AP]Association of night-waking and inattention/hyperactivity symptoms trajectories in preschool-aged children
Eve Reynaud, Anne Forhan, Barbara Heude, Marie-Aline Charles, Sabine Plancoulaine
http://arxiv.org/abs/1904.05043v1
• [stat.AP]Cord-blood vitamin D level and night sleep duration in preschoolers in the EDEN mother-child birth cohort
Chu Yan Yong, Eve Reynaud, Anne Forhan, Partricia Dargent-Molina, Barbara Heude, Marie-Aline Charles, Sabine Plancoulaine
http://arxiv.org/abs/1904.05070v1
• [stat.AP]Early features associated with the neurocognitive development at 36 months of age: the AuBE study
Sabine Plancoulaine, Camille Stagnara, Sophie Flori, Flora Bat-Pitault, Jian-Sheng Lin, Hugues Patural, Patricia Franco
http://arxiv.org/abs/1904.05026v1
• [stat.AP]Google Street View image of a house predicts car accident risk of its resident
Kinga Kita, Łukasz Kidziński
http://arxiv.org/abs/1904.05270v1
• [stat.AP]Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher beliefs and practices
Leonardo Grilli, Maria Francesca Marino, Omar Paccagnella, Carla Rampichini
http://arxiv.org/abs/1904.05062v1
• [stat.AP]Night sleep duration trajectories and associated factors among preschool children from the EDEN cohort
Sabine Plancoulaine, Eve Reynaud, Anne Forhan, Sandrine Lioret, Barbara Heude, Marie-Aline Charles
http://arxiv.org/abs/1904.05042v1
• [stat.ME]A Nonparametric Normality Test for High-dimensional Data
Hao Chen, Yin Xia
http://arxiv.org/abs/1904.05289v1
• [stat.ME]A Reproducing Kernel Hilbert Space log-rank test for the two-sample problem
Tamara Fernandez, Nicolas Rivera
http://arxiv.org/abs/1904.05187v1
• [stat.ME]Ensemble updating of binary state vectors by maximising the expected number of unchanged components
Margrethe Kvale Loe, Håkon Tjelmeland
http://arxiv.org/abs/1904.05107v1
• [stat.ME]Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
http://arxiv.org/abs/1904.04876v1
• [stat.ME]Network depth: identifying median and contours in complex networks
G. Bertagnolli, C. Agostinelli, M. De Domenico
http://arxiv.org/abs/1904.05060v1
• [stat.ML]Active Learning for Decision-Making from Imbalanced Observational Data
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
http://arxiv.org/abs/1904.05268v1
• [stat.ML]Attraction-Repulsion clustering with applications to fairness
Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes
http://arxiv.org/abs/1904.05254v1
• [stat.ML]Enhancing Time Series Momentum Strategies Using Deep Neural Networks
Bryan Lim, Stefan Zohren, Stephen Roberts
http://arxiv.org/abs/1904.04912v1
• [stat.ML]Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Arno Solin, Manon Kok
http://arxiv.org/abs/1904.05207v1
• [stat.ML]New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Amin Jalali, Adel Javanmard, Maryam Fazel
http://arxiv.org/abs/1904.05338v1
• [stat.ML]Novel Uncertainty Framework for Deep Learning Ensembles
Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
http://arxiv.org/abs/1904.04917v1
• [stat.ML]Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
Sheng Liu, Mark Cheng, Hayley Brooks, Wayne Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda
http://arxiv.org/abs/1904.04780v2