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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.HO - 历史与概述 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving
• [cs.CL]A Finnish News Corpus for Named Entity Recognition
• [cs.CL]A Generate-Validate Approach to Answering Questions about Qualitative Relationships
• [cs.CL]Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
• [cs.CL]Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
• [cs.CL]On the Validity of Self-Attention as Explanation in Transformer Models
• [cs.CL]Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription
• [cs.CR]Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
• [cs.CR]Douglas-Quaid — Open Source Image Matching Library
• [cs.CR]Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data
• [cs.CV]ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
• [cs.CV]An overlapping-free leaf segmentation method for plant point clouds
• [cs.CV]Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
• [cs.CV]AutoGAN: Neural Architecture Search for Generative Adversarial Networks
• [cs.CV]Bayesian Loss for Crowd Count Estimation with Point Supervision
• [cs.CV]Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification
• [cs.CV]Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
• [cs.CV]DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
• [cs.CV]Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
• [cs.CV]Domain-Specific Embedding Network for Zero-Shot Recognition
• [cs.CV]Dynamic Region Division for Adaptive Learning Pedestrian Counting
• [cs.CV]Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)
• [cs.CV]Enhanced 3D convolutional networks for crowd counting
• [cs.CV]Explicit Shape Encoding for Real-Time Instance Segmentation
• [cs.CV]Exploiting temporal consistency for real-time video depth estimation
• [cs.CV]GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
• [cs.CV]HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
• [cs.CV]IoU Loss for 2D/3D Object Detection
• [cs.CV]Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras
• [cs.CV]Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing
• [cs.CV]LIP: Local Importance-based Pooling
• [cs.CV]Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
• [cs.CV]Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
• [cs.CV]MobileFAN: Transferring Deep Hidden Representation for Face Alignment
• [cs.CV]Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
• [cs.CV]Multimodal Unified Attention Networks for Vision-and-Language Interactions
• [cs.CV]Object-Aware Instance Labeling for Weakly Supervised Object Detection
• [cs.CV]Recent Advances in Deep Learning for Object Detection
• [cs.CV]Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
• [cs.CV]SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
• [cs.CV]Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
• [cs.CV]Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
• [cs.CV]Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
• [cs.CV]Sentence Specified Dynamic Video Thumbnail Generation
• [cs.CV]StructureFlow: Image Inpainting via Structure-aware Appearance Flow
• [cs.CV]Temporal Knowledge Propagation for Image-to-Video Person Re-identification
• [cs.CV]To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
• [cs.CV]Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
• [cs.CV]UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
• [cs.CV]Unconstrained Foreground Object Search
• [cs.CV]User independent Emotion Recognition with Residual Signal-Image Network
• [cs.CV]Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
• [cs.CY]BISTRO: Berkeley Integrated System for Transportation Optimization
• [cs.CY]Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country
• [cs.DC]An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
• [cs.DC]Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
• [cs.DC]Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
• [cs.DS]Shared-Memory Branch-and-Reduce for Multiterminal Cuts
• [cs.IR]An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation
• [cs.IR]Assessing the Quality of Scientific Papers
• [cs.IR]Automatic Fashion Knowledge Extraction from Social Media
• [cs.IR]Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
• [cs.IR]Exploring the Effect of an Item’s Neighborhood on its Sellability in eCommerce
• [cs.IR]Personalized Music Recommendation with Triplet Network
• [cs.IR]TEQUILA: Temporal Question Answering over Knowledge Bases
• [cs.IR]Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
• [cs.IT]3-D Positioning and Environment Mapping for mmWave Communication Systems
• [cs.IT]A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code
• [cs.IT]A theory of incremental compression
• [cs.IT]BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects
• [cs.IT]Coded trace reconstruction in a constant number of traces
• [cs.IT]Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
• [cs.IT]New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks
• [cs.IT]On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
• [cs.IT]Optimizations with Reconfigurable Intelligent Surfaces (RISs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple RISs
• [cs.IT]Physical Layer Secret Key Generation in Static Environments
• [cs.IT]Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming
• [cs.IT]Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
• [cs.IT]Secure Coded Multi-Party Computation for Massive Matrix Operations
• [cs.LG]A Critical Note on the Evaluation of Clustering Algorithms
• [cs.LG]A Review of Cooperative Multi-Agent Deep Reinforcement Learning
• [cs.LG]A Study on Angular Based Embedding Learning for Text-independent Speaker Verification
• [cs.LG]Automatic Model Monitoring for Data Streams
• [cs.LG]Behaviour Suite for Reinforcement Learning
• [cs.LG]Data-Driven Randomized Learning of Feedforward Neural Networks
• [cs.LG]Deep Structured Cross-Modal Anomaly Detection
• [cs.LG]DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
• [cs.LG]Experience Reuse with Probabilistic Movement Primitives
• [cs.LG]Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
• [cs.LG]Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
• [cs.LG]Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
• [cs.LG]LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations
• [cs.LG]Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension
• [cs.LG]Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
• [cs.LG]RWR-GAE: Random Walk Regularization for Graph Auto Encoders
• [cs.LG]SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
• [cs.LG]Supervised Negative Binomial Classifier for Probabilistic Record Linkage
• [cs.LG]TAPER: Time-Aware Patient EHR Representation
• [cs.LG]That which we call private
• [cs.LG]Unsupervised Neural Quantization for Compressed-Domain Similarity Search
• [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
• [cs.LO]Introduction to the 35th International Conference on Logic Programming Special Issue
• [cs.MM]Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
• [cs.MM]Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
• [cs.MM]Exploiting Temporal Relationships in Video Moment Localization with Natural Language
• [cs.NE]One-time learning and reverse salience signal with a salience affected neural network (SANN)
• [cs.RO]Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin
• [cs.RO]Enabling Commercial Autonomous Space Robotic Explorers
• [cs.RO]Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
• [cs.RO]Learning to Explore in Motion and Interaction Tasks
• [cs.RO]Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators
• [cs.RO]View management for lifelong visual maps
• [cs.RO]Vision-based Navigation Using Deep Reinforcement Learning
• [cs.SE]Exploring the relations between net benefits of IT projects and CIOs’ perception of quality of software development disciplines
• [cs.SI]Deep Kernel Supervised Hashing for Network Embedding
• [cs.SI]Edge Correlations in Multilayer Networks
• [cs.SI]Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
• [cs.SI]Modeling Graphs with Vertex Replacement Grammars
• [cs.SI]Tensor Factorization with Label Information for Fake News Detection
• [cs.SI]The Impact of Informal Mentorship in Academic Collaborations
• [econ.EM]Maximum Approximated Likelihood Estimation
• [eess.AS]Personal VAD: Speaker-Conditioned Voice Activity Detection
• [eess.IV]Automated Brain Tumour Segmentation Using Deep Fully Convolutional Residual Networks
• [eess.IV]Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets
• [eess.IV]Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
• [eess.IV]Decision Trees for Complexity Reduction in Video Compression
• [eess.IV]Deep Tone Mapping Operator for High Dynamic Range Images
• [eess.IV]Distance Map Loss Penalty Term for Semantic Segmentation
• [eess.IV]Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
• [eess.IV]Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
• [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
• [eess.IV]Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
• [eess.IV]Semi-Supervised Multi-Task Learning With Chest X-Ray Images
• [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
• [eess.SP]Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance
• [eess.SP]Successive Projection Algorithm Robust to Outliers
• [math.HO]Moments of Maximum: Segment of AR(1)
• [math.NA]An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
• [math.PR]Almost Surely Asymptotic Freeness for Jacobian Spectrum of Deep Network
• [math.PR]High-frequency analysis of parabolic stochastic PDEs with multiplicative noise: Part I
• [math.ST]Component-based regularisation of multivariate generalised linear mixed models
• [math.ST]Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs
• [math.ST]Measure Dependent Asymptotic Rate of the Mean: Geometrical and Topological Smeariness
• [math.ST]Prediction in regression models with continuous observations
• [physics.comp-ph]A review on Deep Reinforcement Learning for Fluid Mechanics
• [physics.comp-ph]Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism
• [physics.soc-ph]Classical Information Theory of Networks
• [q-bio.GN]Transcriptional Response of SK-N-AS Cells to Methamidophos
• [q-bio.PE]Estimation of the excess mortality in chronic diseases from prevalence and incidence data
• [stat.AP]Quantifying Time-Varying Sources in Magnetoencephalography — A Discrete Approach
• [stat.ME]A Survey of Tuning Parameter Selection for High-dimensional Regression
• [stat.ME]A new Granger causality measure for eliminating the confounding influence of latent common inputs
• [stat.ME]Analysis of regression discontinuity designs using censored data
• [stat.ME]Bayesian Inference for Latent Chain Graphs
• [stat.ME]Blending of Probability and Non-Probability Samples: Applications to a Survey of Military Caregivers
• [stat.ME]Detecting Heterogeneous Treatment Effect with Instrumental Variables
• [stat.ME]Estimation of the Number of Components of Non-Parametric Multivariate Finite Mixture Models
• [stat.ME]Finite Sample Hypothesis Tests for Stacked Estimating Equations
• [stat.ME]Goodness-of-fit testing in high-dimensional generalized linear models
• [stat.ME]Hypothesis Testing for Network Data with Power Enhancement
• [stat.ME]Life After Bootstrap: Residual Randomization Inference in Regression Models
• [stat.ME]Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
• [stat.ME]Separable nonlinear least-squares parameter estimation for complex dynamic systems
• [stat.ML]Anomaly Detection in High Dimensional Data
• [stat.ML]Estimation of Spectral Clustering Hyper Parameters
• [stat.ML]Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
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• [cs.AI]Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving
Sisi Li, Nan Li, Anouck Girard, Ilya Kolmanovsky
http://arxiv.org/abs/1908.04005v1
• [cs.CL]A Finnish News Corpus for Named Entity Recognition
Teemu Ruokolainen, Pekka Kauppinen, Miikka Silfverberg, Krister Lindén
http://arxiv.org/abs/1908.04212v1
• [cs.CL]A Generate-Validate Approach to Answering Questions about Qualitative Relationships
Arindam Mitra, Chitta Baral, Aurgho Bhattacharjee, Ishan Shrivastava
http://arxiv.org/abs/1908.03645v1
• [cs.CL]Active Annotation: bootstrapping annotation lexicon and guidelines for supervised NLU learning
Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio, Giuseppe Riccardi
http://arxiv.org/abs/1908.04092v1
• [cs.CL]Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
Frank Meng, Craig A. Morioka, Danne C. Elbers
http://arxiv.org/abs/1908.03594v1
• [cs.CL]On the Validity of Self-Attention as Explanation in Transformer Models
Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer
http://arxiv.org/abs/1908.04211v1
• [cs.CL]Unsupervised Stemming based Language Model for Telugu Broadcast News Transcription
Mythili Sharan Pala, Parayitam Laxminarayana, A. V. Ramana
http://arxiv.org/abs/1908.03734v1
• [cs.CR]Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
Lukas Halgas, Ioannis Agrafiotis, Jason R. C. Nurse
http://arxiv.org/abs/1908.03640v1
• [cs.CR]Douglas-Quaid — Open Source Image Matching Library
Vincent Falconieri
http://arxiv.org/abs/1908.04014v1
• [cs.CR]Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data
Sahan Ahmad, SM Zobaed, Raju Gottumukkala, Mohsen Amini Salehi
http://arxiv.org/abs/1908.03668v1
• [cs.CV]ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han
http://arxiv.org/abs/1908.03930v1
• [cs.CV]An overlapping-free leaf segmentation method for plant point clouds
Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan
http://arxiv.org/abs/1908.04018v1
• [cs.CV]Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
Safa Alver, Ugur Halici
http://arxiv.org/abs/1908.03812v1
• [cs.CV]AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang
http://arxiv.org/abs/1908.03835v1
• [cs.CV]Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong
http://arxiv.org/abs/1908.03684v1
• [cs.CV]Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification
Changhong Fu, Ziyuan Huang, Yiming Li, Ran Duan, Peng Lu
http://arxiv.org/abs/1908.03701v1
• [cs.CV]Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
Jonathan Howe, Kyle Pula, Aaron A. Reite
http://arxiv.org/abs/1908.03809v1
• [cs.CV]DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
http://arxiv.org/abs/1908.03826v1
• [cs.CV]Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
http://arxiv.org/abs/1908.03856v1
• [cs.CV]Domain-Specific Embedding Network for Zero-Shot Recognition
Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang
http://arxiv.org/abs/1908.04174v1
• [cs.CV]Dynamic Region Division for Adaptive Learning Pedestrian Counting
Gaoqi He, Zhenwei Ma, Binhao Huang, Bin Sheng, Yubo Yuan
http://arxiv.org/abs/1908.03978v1
• [cs.CV]Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)
Vanderson M. do Rosario, Mauricio Breternitz Jr., Edson Borin
http://arxiv.org/abs/1908.03935v1
• [cs.CV]Enhanced 3D convolutional networks for crowd counting
Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou
http://arxiv.org/abs/1908.04121v1
• [cs.CV]Explicit Shape Encoding for Real-Time Instance Segmentation
Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu
http://arxiv.org/abs/1908.04067v1
• [cs.CV]Exploiting temporal consistency for real-time video depth estimation
Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, Youliang Yan
http://arxiv.org/abs/1908.03706v1
• [cs.CV]GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, R. Venkatesh Babu
http://arxiv.org/abs/1908.03919v1
• [cs.CV]HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
Duo Li, Aojun Zhou, Anbang Yao
http://arxiv.org/abs/1908.03888v1
• [cs.CV]IoU Loss for 2D/3D Object Detection
Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang
http://arxiv.org/abs/1908.03851v1
• [cs.CV]Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras
Joakim Bruslund Haurum, Chris H. Bahnsen, Thomas B. Moeslund
http://arxiv.org/abs/1908.04034v1
• [cs.CV]Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing
Roberto Annunziata, Christos Sagonas, Jacques Cali
http://arxiv.org/abs/1908.04130v1
• [cs.CV]LIP: Local Importance-based Pooling
Ziteng Gao, Limin Wang, Gangshan Wu
http://arxiv.org/abs/1908.04156v1
• [cs.CV]Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
Mojtaba S. Fazli, Rachel V. Stadler, BahaaEddin Alaila, Stephen A. Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn
http://arxiv.org/abs/1908.03775v1
• [cs.CV]Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
Tan Wang, Xing Xu, Yang Yang, Alan Hanjalic, Heng Tao Shen, Jingkuan Song
http://arxiv.org/abs/1908.04011v1
• [cs.CV]MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong
http://arxiv.org/abs/1908.03839v1
• [cs.CV]Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer
Kun Cheng, Hao-Zhi Huang, Chun Yuan, Lingyiqing Zhou, Wei Liu
http://arxiv.org/abs/1908.04013v1
• [cs.CV]Multimodal Unified Attention Networks for Vision-and-Language Interactions
Zhou Yu, Yuhao Cui, Jun Yu, Dacheng Tao, Qi Tian
http://arxiv.org/abs/1908.04107v1
• [cs.CV]Object-Aware Instance Labeling for Weakly Supervised Object Detection
Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa
http://arxiv.org/abs/1908.03792v1
• [cs.CV]Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
http://arxiv.org/abs/1908.03673v1
• [cs.CV]Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
Nathanael L. Baisa
http://arxiv.org/abs/1908.03945v1
• [cs.CV]SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao, Qi Wang, Yuan Yuan
http://arxiv.org/abs/1908.03716v1
• [cs.CV]Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
Oliver Mothes, Joachim Denzler
http://arxiv.org/abs/1908.04027v1
• [cs.CV]Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai
http://arxiv.org/abs/1908.03850v1
• [cs.CV]Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin
http://arxiv.org/abs/1908.04051v1
• [cs.CV]Sentence Specified Dynamic Video Thumbnail Generation
Yiitan Yuan, Lin Ma, Wenwu Zhu
http://arxiv.org/abs/1908.04052v1
• [cs.CV]StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li
http://arxiv.org/abs/1908.03852v1
• [cs.CV]Temporal Knowledge Propagation for Image-to-Video Person Re-identification
Xinqian Gu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/1908.03885v1
• [cs.CV]To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E Boult, Maneesh Singh
http://arxiv.org/abs/1908.03864v1
• [cs.CV]Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer
http://arxiv.org/abs/1908.04186v1
• [cs.CV]UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu
http://arxiv.org/abs/1908.03884v1
• [cs.CV]Unconstrained Foreground Object Search
Yinan Zhao, Brian Price, Scott Cohen, Danna Gurari
http://arxiv.org/abs/1908.03675v1
• [cs.CV]User independent Emotion Recognition with Residual Signal-Image Network
Guanghao Yin, Shouqian Sun, Hui Zhang, Dian Yu, Chao Li, Kejun Zhang, Ning Zou
http://arxiv.org/abs/1908.03692v1
• [cs.CV]Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
http://arxiv.org/abs/1908.04015v1
• [cs.CY]BISTRO: Berkeley Integrated System for Transportation Optimization
Sidney A. Feygin, Jessica R. Lazarus, Edward H. Forscher, Valentine Golfier-Vetterli, Jonathan W. Lee, Abhishek Gupta, Rashid A. Waraich, Colin J. R. Sheppard, Alexandre M. Bayen
http://arxiv.org/abs/1908.03821v1
• [cs.CY]Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country
Daniel Mutembesa, Christopher Omongo, Ernest Mwebaze
http://arxiv.org/abs/1908.04237v1
• [cs.DC]An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
Jian Yang, Juno Kim, Morteza Hoseinzadeh, Joseph Izraelevitz, Steven Swanson
http://arxiv.org/abs/1908.03583v1
• [cs.DC]Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
Murthy Durbhakula
http://arxiv.org/abs/1908.04249v1
• [cs.DC]Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler
http://arxiv.org/abs/1908.04207v1
• [cs.DS]Shared-Memory Branch-and-Reduce for Multiterminal Cuts
Monika Henzinger, Alexander Noe, Christian Schulz
http://arxiv.org/abs/1908.04141v1
• [cs.IR]An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation
Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie, Jian Tang
http://arxiv.org/abs/1908.04032v1
• [cs.IR]Assessing the Quality of Scientific Papers
Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach
http://arxiv.org/abs/1908.04200v1
• [cs.IR]Automatic Fashion Knowledge Extraction from Social Media
Yunshan Ma, Lizi Liao, Tat-Seng Chua
http://arxiv.org/abs/1908.04045v1
• [cs.IR]Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
Emanuel Lacic, Dominik Kowald, Dieter Theiler, Matthias Traub, Lucky Kuffer, Stefanie Lindstaedt, Elisabeth Lex
http://arxiv.org/abs/1908.04042v1
• [cs.IR]Exploring the Effect of an Item’s Neighborhood on its Sellability in eCommerce
Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan
http://arxiv.org/abs/1908.03825v1
• [cs.IR]Personalized Music Recommendation with Triplet Network
Haoting Liang, Donghuo Zeng, Yi Yu, Keizo Oyama
http://arxiv.org/abs/1908.03738v1
• [cs.IR]TEQUILA: Temporal Question Answering over Knowledge Bases
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Stroetgen, Gerhard Weikum
http://arxiv.org/abs/1908.03650v1
• [cs.IR]Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Stefanie Lindstaedt, Roman Kern, Elisabeth Lex
http://arxiv.org/abs/1908.04017v1
• [cs.IT]3-D Positioning and Environment Mapping for mmWave Communication Systems
Jie Yang, Shi Jin, Chao-Kai Wen, Jiajia Guo, Michail Matthaiou
http://arxiv.org/abs/1908.04142v1
• [cs.IT]A Lagrange-Dual Lower Bound to the Error Exponent Function of the Typical Random Code
Neri Merhav
http://arxiv.org/abs/1908.04024v1
• [cs.IT]A theory of incremental compression
Arthur Franz, Oleksandr Antonenko, Roman Soletskyi
http://arxiv.org/abs/1908.03781v1
• [cs.IT]BGD-based Adam algorithm for time-domain equalizer in PAM-based optical interconnects
Haide Wang, Ji Zhou, Weiping Liu, Jianping Li, Xincheng Huang, Long Liu, Weixian Liang, Changyuan Yu, Fan Li, Zhaohui Li
http://arxiv.org/abs/1908.04116v1
• [cs.IT]Coded trace reconstruction in a constant number of traces
Joshua Brakensiek, Ray Li, Bruce Spang
http://arxiv.org/abs/1908.03996v1
• [cs.IT]Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
Eleftherios Lampiris, Jingjing Zhang, Osvaldo Simeone, Petros Elia
http://arxiv.org/abs/1908.04036v1
• [cs.IT]New Constructions of Subspace Codes Using Subsets of MRD codes in Several Blocks
Hao Chen, Xianmang He, Jian Weng, Liqing Xu
http://arxiv.org/abs/1908.03804v1
• [cs.IT]On Product Codes with Probabilistic Amplitude Shaping for High-Throughput Fiber-Optic Systems
Alireza Sheikh, Alexandre Graell i Ama, Alex Alvarado
http://arxiv.org/abs/1908.04205v1
• [cs.IT]Optimizations with Reconfigurable Intelligent Surfaces (RISs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and Multicast with Multi-antenna Mobile Users and Multiple RISs
Jun Zhao
http://arxiv.org/abs/1908.03965v1
• [cs.IT]Physical Layer Secret Key Generation in Static Environments
Nasser Aldaghri, Hessam Mahdavifar
http://arxiv.org/abs/1908.03637v1
• [cs.IT]Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming
Sixian Li, Bin Duo, Xiaojun Yuan, Senior Member, IEEE, Ying-Chang Liang, Fellow, IEEE, Marco Di Renzo, Senior Member, IEEE
http://arxiv.org/abs/1908.04082v1
• [cs.IT]Reinforcement Learning for Maneuver Design in UAV-Enabled NOMA System with Segmented Channel
Yuwei Huang, Xiaopeng Mo, Jie Xu, Ling Qiu
http://arxiv.org/abs/1908.03984v1
• [cs.IT]Secure Coded Multi-Party Computation for Massive Matrix Operations
Hanzaleh Akbari Nodehi, Mohammad Ali Maddah-Ali
http://arxiv.org/abs/1908.04255v1
• [cs.LG]A Critical Note on the Evaluation of Clustering Algorithms
Li Zhong, Tiantian Zhang, Bo Yuan
http://arxiv.org/abs/1908.03782v1
• [cs.LG]A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
http://arxiv.org/abs/1908.03963v1
• [cs.LG]A Study on Angular Based Embedding Learning for Text-independent Speaker Verification
Zhiyong Chen, Zongze Ren, Shugong Xu
http://arxiv.org/abs/1908.03990v1
• [cs.LG]Automatic Model Monitoring for Data Streams
Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro
http://arxiv.org/abs/1908.04240v1
• [cs.LG]Behaviour Suite for Reinforcement Learning
Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepezvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, Hado Van Hasselt
http://arxiv.org/abs/1908.03568v1
• [cs.LG]Data-Driven Randomized Learning of Feedforward Neural Networks
Grzegorz Dudek
http://arxiv.org/abs/1908.03891v1
• [cs.LG]Deep Structured Cross-Modal Anomaly Detection
Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
http://arxiv.org/abs/1908.03848v1
• [cs.LG]DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
http://arxiv.org/abs/1908.03918v1
• [cs.LG]Experience Reuse with Probabilistic Movement Primitives
Svenja Stark, Jan Peters, Elmar Rueckert
http://arxiv.org/abs/1908.03936v1
• [cs.LG]Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
http://arxiv.org/abs/1908.04008v1
• [cs.LG]Large-scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, Xinghua Chai
http://arxiv.org/abs/1908.03761v1
• [cs.LG]Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang
http://arxiv.org/abs/1908.03932v1
• [cs.LG]LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations
Dilini Rajapaksha, Christoph Bergmeir, Wray Buntine
http://arxiv.org/abs/1908.03840v1
• [cs.LG]Mixture-based Multiple Imputation Models for Clinical Data with a Temporal Dimension
Ye Xue, Diego Klabjan, Yuan Luo
http://arxiv.org/abs/1908.04209v1
• [cs.LG]Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
Yang Liu, Lixin Ji, Chao Gao, Jianpeng Zhang, Jinghua Qu
http://arxiv.org/abs/1908.03682v1
• [cs.LG]RWR-GAE: Random Walk Regularization for Graph Auto Encoders
Vaibhav, Po-Yao Huang, Robert Frederking
http://arxiv.org/abs/1908.04003v1
• [cs.LG]SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
http://arxiv.org/abs/1908.03849v1
• [cs.LG]Supervised Negative Binomial Classifier for Probabilistic Record Linkage
Harish Kashyap K, Kiran Byadarhaly, Saumya Shah
http://arxiv.org/abs/1908.03830v1
• [cs.LG]TAPER: Time-Aware Patient EHR Representation
Sajad Darabi, Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh
http://arxiv.org/abs/1908.03971v1
• [cs.LG]That which we call private
Úlfar Erlingsson, Ilya Mironov, Ananth Raghunathan, Shuang Song
http://arxiv.org/abs/1908.03566v1
• [cs.LG]Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Stanislav Morozov, Artem Babenko
http://arxiv.org/abs/1908.03883v1
• [cs.LG]Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
Chuanxing Geng, Lue Tao, Songcan Chen
http://arxiv.org/abs/1908.03983v1
• [cs.LO]Introduction to the 35th International Conference on Logic Programming Special Issue
Esra Erdem, Andrea Formisano, German Vidal, Fangkai Yang
http://arxiv.org/abs/1908.03719v1
• [cs.MM]Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA
Donghuo Zeng, Yi Yu, Keizo Oyama
http://arxiv.org/abs/1908.03744v1
• [cs.MM]Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
Donghuo Zeng, Yi Yu, Keizo Oyama
http://arxiv.org/abs/1908.03737v1
• [cs.MM]Exploiting Temporal Relationships in Video Moment Localization with Natural Language
Songyang Zhang, Jinsong Su, Jiebo Luo
http://arxiv.org/abs/1908.03846v1
• [cs.NE]One-time learning and reverse salience signal with a salience affected neural network (SANN)
Leendert A Remmelzwaal, George F R Ellis, Jonathan Tapson
http://arxiv.org/abs/1908.03532v2
• [cs.RO]Color-Coded Fiber-Optic Tactile Sensor for an Elastomeric Robot Skin
Zhanat Kappassov, Daulet Baimukashev, Zharaskhan Kuanyshuly, Yerzhan Massalin, Arshat Urazbayev, Huseyin Atakan Varol
http://arxiv.org/abs/1908.03687v1
• [cs.RO]Enabling Commercial Autonomous Space Robotic Explorers
Thomas Yuang Li, Shaoshan Liu
http://arxiv.org/abs/1908.04149v1
• [cs.RO]Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
Yuan Gao, Elena Sibirtseva, Ginevra Castellano, Danica Kragic
http://arxiv.org/abs/1908.04087v1
• [cs.RO]Learning to Explore in Motion and Interaction Tasks
Miroslav Bogdanovic, Ludovic Righetti
http://arxiv.org/abs/1908.03731v1
• [cs.RO]Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators
Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How
http://arxiv.org/abs/1908.03790v1
• [cs.RO]View management for lifelong visual maps
Nandan Banerjee, Ryan C. Connolly, Dimitri Lisin, Jimmy Briggs, Manjunath Narayana, Mario E. Munich
http://arxiv.org/abs/1908.03605v1
• [cs.RO]Vision-based Navigation Using Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Tim de Bruin, Robert Babuška
http://arxiv.org/abs/1908.03627v1
• [cs.SE]Exploring the relations between net benefits of IT projects and CIOs’ perception of quality of software development disciplines
Damjan Vavpotič, Marko Robnik-Šikonja, Tomaž Hovelja
http://arxiv.org/abs/1908.04070v1
• [cs.SI]Deep Kernel Supervised Hashing for Network Embedding
Jia-Nan Guo, Xian-Ling Mao, Xiao-Jian Jiang, Ying-Xiang Sun, He-Yan Huang
http://arxiv.org/abs/1908.04007v1
• [cs.SI]Edge Correlations in Multilayer Networks
A. Roxana Pamfil, Sam D. Howison, Mason A. Porter
http://arxiv.org/abs/1908.03875v1
• [cs.SI]Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty
http://arxiv.org/abs/1908.03770v1
• [cs.SI]Modeling Graphs with Vertex Replacement Grammars
Satyaki Sikdar, Justus Hibshman, Tim Weninger
http://arxiv.org/abs/1908.03837v1
• [cs.SI]Tensor Factorization with Label Information for Fake News Detection
Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras
http://arxiv.org/abs/1908.03957v1
• [cs.SI]The Impact of Informal Mentorship in Academic Collaborations
Bedoor AlShebli, Kinga Makovi, Talal Rahwan
http://arxiv.org/abs/1908.03813v1
• [econ.EM]Maximum Approximated Likelihood Estimation
Michael Griebel, Florian Heiss, Jens Oettershagen, Constantin Weiser
http://arxiv.org/abs/1908.04110v1
• [eess.AS]Personal VAD: Speaker-Conditioned Voice Activity Detection
Shaojin Ding, Quan Wang, Shuo-yiin Chang, Li Wan, Ignacio Lopez Moreno
http://arxiv.org/abs/1908.04284v1
• [eess.IV]Automated Brain Tumour Segmentation Using Deep Fully Convolutional Residual Networks
Indrajit Mazumdar
http://arxiv.org/abs/1908.04250v1
• [eess.IV]Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets
Kundan Kumar, Debashisa Samal, Suraj
http://arxiv.org/abs/1908.04123v1
• [eess.IV]Automatic acute ischemic stroke lesion segmentation using semi-supervised learning
Bin Zhao, Hong Wu, Guohua Liu, Chen Cao, Song Jin, Zhiyang Liu, Shuxue Ding
http://arxiv.org/abs/1908.03735v1
• [eess.IV]Decision Trees for Complexity Reduction in Video Compression
Natasha Westland, André Seixas Dias, Marta Mrak
http://arxiv.org/abs/1908.04168v1
• [eess.IV]Deep Tone Mapping Operator for High Dynamic Range Images
Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frederic Dufaux, Nikos Komodakis, Aljosa Smolic
http://arxiv.org/abs/1908.04197v1
• [eess.IV]Distance Map Loss Penalty Term for Semantic Segmentation
Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia
http://arxiv.org/abs/1908.03679v1
• [eess.IV]Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
Wenzhong Zhou, Huiqian Du, Wenbo Mei, Liping Fang
http://arxiv.org/abs/1908.03858v1
• [eess.IV]Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
Ping Lu, Yanyan Zhang, Jianxiong Chen, Yuan Xiao, George Zhao
http://arxiv.org/abs/1908.03973v1
• [eess.IV]Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
http://arxiv.org/abs/1908.04126v1
• [eess.IV]Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/1908.04181v1
• [eess.IV]Semi-Supervised Multi-Task Learning With Chest X-Ray Images
Abdullah-Al-Zubaer Imran, Demetri Terzopoulos
http://arxiv.org/abs/1908.03693v1
• [eess.IV]Structural Similarity based Anatomical and Functional Brain Imaging Fusion
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
http://arxiv.org/abs/1908.03958v1
• [eess.SP]Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance
Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/1908.03678v1
• [eess.SP]Successive Projection Algorithm Robust to Outliers
Nicolas Gillis
http://arxiv.org/abs/1908.04109v1
• [math.HO]Moments of Maximum: Segment of AR(1)
Steven Finch
http://arxiv.org/abs/1908.04179v1
• [math.NA]An Adaptive $s$-step Conjugate Gradient Algorithm with Dynamic Basis Updating
Erin C. Carson
http://arxiv.org/abs/1908.04081v1
• [math.PR]Almost Surely Asymptotic Freeness for Jacobian Spectrum of Deep Network
Tomohiro Hayase
http://arxiv.org/abs/1908.03901v1
• [math.PR]High-frequency analysis of parabolic stochastic PDEs with multiplicative noise: Part I
Carsten Chong
http://arxiv.org/abs/1908.04145v1
• [math.ST]Component-based regularisation of multivariate generalised linear mixed models
Jocelyn Chauvet, Catherine Trottier, Xavier Bry
http://arxiv.org/abs/1908.04020v1
• [math.ST]Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs
Yang Xiaowei, Song Shuang, Zhang Huiming
http://arxiv.org/abs/1908.03676v1
• [math.ST]Measure Dependent Asymptotic Rate of the Mean: Geometrical and Topological Smeariness
Benjamin Eltzner
http://arxiv.org/abs/1908.04233v1
• [math.ST]Prediction in regression models with continuous observations
Holger Dette, Andrey Pepelyshev, Anatoly Zhigljavsky
http://arxiv.org/abs/1908.04106v1
• [physics.comp-ph]A review on Deep Reinforcement Learning for Fluid Mechanics
Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem
http://arxiv.org/abs/1908.04127v1
• [physics.comp-ph]Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism
Steven Cook, Tamar Shinar
http://arxiv.org/abs/1908.04279v1
• [physics.soc-ph]Classical Information Theory of Networks
Filippo Radicchi, Dmitri Krioukov, Harrison Hartle, Ginestra Bianconi
http://arxiv.org/abs/1908.03811v1
• [q-bio.GN]Transcriptional Response of SK-N-AS Cells to Methamidophos
Akos Vertes, Albert-Baskar Arul, Peter Avar, Andrew R. Korte, Lida Parvin, Ziad J. Sahab, Deborah I. Bunin, Merrill Knapp, Denise Nishita, Andrew Poggio, Mark-Oliver Stehr, Carolyn L. Talcott, Brian M. Davis, Christine A. Morton, Christopher J. Sevinsky, Maria I. Zavodszky
http://arxiv.org/abs/1908.03841v1
• [q-bio.PE]Estimation of the excess mortality in chronic diseases from prevalence and incidence data
Ralph Brinks
http://arxiv.org/abs/1908.04053v1
• [stat.AP]Quantifying Time-Varying Sources in Magnetoencephalography — A Discrete Approach
Zhigang Yao, Zengyan Fan, Masahito Hayashi, William F. Eddy
http://arxiv.org/abs/1908.03926v1
• [stat.ME]A Survey of Tuning Parameter Selection for High-dimensional Regression
Yunan Wu, Lan Wang
http://arxiv.org/abs/1908.03669v1
• [stat.ME]A new Granger causality measure for eliminating the confounding influence of latent common inputs
Takashi Arai
http://arxiv.org/abs/1908.03867v1
• [stat.ME]Analysis of regression discontinuity designs using censored data
Youngjoo Cho, Chen Hu, Debashis Ghosh
http://arxiv.org/abs/1908.03646v1
• [stat.ME]Bayesian Inference for Latent Chain Graphs
Deng Lu, Maria De Iorio, Ajay Jasra, Gary L. Rosner
http://arxiv.org/abs/1908.04002v1
• [stat.ME]Blending of Probability and Non-Probability Samples: Applications to a Survey of Military Caregivers
Michael W. Robbins, Bonnie Ghosh-Dastidar, Rajeev Ramchand
http://arxiv.org/abs/1908.04217v1
• [stat.ME]Detecting Heterogeneous Treatment Effect with Instrumental Variables
Michael Johnson, Jiongyi Cao, Hyunseung Kang
http://arxiv.org/abs/1908.03652v1
• [stat.ME]Estimation of the Number of Components of Non-Parametric Multivariate Finite Mixture Models
Caleb Kwon, Eric Mbakop
http://arxiv.org/abs/1908.03656v1
• [stat.ME]Finite Sample Hypothesis Tests for Stacked Estimating Equations
Eli S. Kravitz, Raymond J. Carroll, David Ruppert
http://arxiv.org/abs/1908.03968v1
• [stat.ME]Goodness-of-fit testing in high-dimensional generalized linear models
Jana Janková, Rajen D. Shah, Peter Bühlmann, Richard J. Samworth
http://arxiv.org/abs/1908.03606v1
• [stat.ME]Hypothesis Testing for Network Data with Power Enhancement
Yin Xia, Lexin Li
http://arxiv.org/abs/1908.03836v1
• [stat.ME]Life After Bootstrap: Residual Randomization Inference in Regression Models
Panos Toulis
http://arxiv.org/abs/1908.04218v1
• [stat.ME]Sample Splitting as an M-Estimator with Application to Physical Activity Scoring
Eli S. Kravitz, Raymond J. Carroll, David Ruppert
http://arxiv.org/abs/1908.03967v1
• [stat.ME]Separable nonlinear least-squares parameter estimation for complex dynamic systems
Itai Dattner, Shota Gugushvili, Harold Ship, Eberhard O. Voit
http://arxiv.org/abs/1908.03717v1
• [stat.ML]Anomaly Detection in High Dimensional Data
Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles
http://arxiv.org/abs/1908.04000v1
• [stat.ML]Estimation of Spectral Clustering Hyper Parameters
Sioan Zohar, Chun-Hong Yoon
http://arxiv.org/abs/1908.03747v1
• [stat.ML]Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
Ronny Hug, Wolfgang Hübner, Michael Arens
http://arxiv.org/abs/1908.04030v1