astro-ph.CO - 宇宙学和天体物理学

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NA - 数值分析 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 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.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.med-ph - 医学物理学 q-bio.BM - 生物分子 q-bio.OT - 其他定量生物学 q-fin.CP -计算金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]Exact joint likelihood of pseudo-$C_\ell$ estimates from correlated Gaussian cosmological fields
    • [cs.AI]Bayesian Persuasion with Sequential Games
    • [cs.CL]A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
    • [cs.CL]Contrastive Reasons Detection and Clustering from Online Polarized Debate
    • [cs.CL]Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language
    • [cs.CL]Visualizing RNN States with Predictive Semantic Encodings
    • [cs.CR]Road Context-aware Intrusion Detection System for Autonomous Cars
    • [cs.CV]A Structural Graph-Based Method for MRI Analysis
    • [cs.CV]AdvGAN++ : Harnessing latent layers for adversary generation
    • [cs.CV]Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
    • [cs.CV]An Evaluation of Action Recognition Models on EPIC-Kitchens
    • [cs.CV]Captioning Near-Future Activity Sequences
    • [cs.CV]DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking
    • [cs.CV]Distilling Knowledge From a Deep Pose Regressor Network
    • [cs.CV]Effects of Illumination on the Categorization of Shiny Materials
    • [cs.CV]Entry-Exit event detection and learning
    • [cs.CV]Indices Matter: Learning to Index for Deep Image Matting
    • [cs.CV]L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
    • [cs.CV]Learning Lightweight Lane Detection CNNs by Self Attention Distillation
    • [cs.CV]Learning the Model Update for Siamese Trackers
    • [cs.CV]Learning to Train with Synthetic Humans
    • [cs.CV]Pothole Detection Based on Disparity Transformation and Road Surface Modeling
    • [cs.CV]Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
    • [cs.CV]Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos
    • [cs.CY]Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT)
    • [cs.CY]GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue
    • [cs.DC]GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
    • [cs.DC]Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method
    • [cs.DS]Online Payment Network Design
    • [cs.HC]A Natural-language-based Visual Query Approach of Uncertain Human Trajectories
    • [cs.HC]OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies
    • [cs.HC]Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections
    • [cs.HC]Towards Learning How to Properly Play UNO with the iCub Robot
    • [cs.IR]Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
    • [cs.IR]On the Merge of k-NN Graph
    • [cs.IT]A Notion of Entropy for Stochastic Processes on Marked Rooted Graphs
    • [cs.IT]GDoF of Interference Channel with Limited Cooperation under Finite Precision CSIT
    • [cs.IT]Grip-Aware Analog mmWave Beam Codebook Adaptation for 5G Mobile Handsets
    • [cs.IT]Interleaved Polar (I-Polar) Codes
    • [cs.IT]Robust Deep Sensing Through Transfer Learning in Cognitive Radio
    • [cs.IT]Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities
    • [cs.LG]A Hierarchical Bayesian Model for Size Recommendation in Fashion
    • [cs.LG]A Visual Technique to Analyze Flow of Information in a Machine Learning System
    • [cs.LG]AutoML: A Survey of the State-of-the-Art
    • [cs.LG]Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance
    • [cs.LG]Combining learned skills and reinforcement learning for robotic manipulations
    • [cs.LG]Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations
    • [cs.LG]Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
    • [cs.LG]Efficient computation of counterfactual explanations of LVQ models
    • [cs.LG]Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
    • [cs.LG]Greedy AutoAugment
    • [cs.LG]Hybrid Low-order and Higher-order Graph Convolutional Networks
    • [cs.LG]Large-Scale Sparse Subspace Clustering Using Landmarks
    • [cs.LG]Learning Variations in Human Motion via Mix-and-Match Perturbation
    • [cs.LG]Machine Learning as Ecology
    • [cs.LG]Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer
    • [cs.LG]Network with Sub-Networks
    • [cs.LG]Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks
    • [cs.LG]Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
    • [cs.NA]A Randomized Algorithm for Preconditioner Selection
    • [cs.NE]A self-organizing fuzzy neural network for sequence learning
    • [cs.NE]Merging variables: one technique of search in pseudo-Boolean optimization
    • [cs.RO]Asynchronous Network Formation in Unknown Unbounded Environments
    • [cs.RO]Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference
    • [cs.SD]High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction
    • [econ.EM]Heterogeneous Endogenous Effects in Networks
    • [eess.AS]Sound source detection, localization and classification using consecutive ensemble of CRNN models
    • [eess.IV]An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
    • [eess.IV]Attention-guided Low-light Image Enhancement
    • [eess.IV]Deep Video Precoding
    • [eess.IV]Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior
    • [eess.IV]Improving localization-based approaches for breast cancer screening exam classification
    • [eess.IV]Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
    • [eess.IV]MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
    • [eess.IV]Multi-Scale Learned Iterative Reconstruction
    • [eess.IV]Space-adaptive anisotropic bivariate Laplacian regularization for image restoration
    • [eess.IV]Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say “I don’t know” for Ambiguous Cases
    • [eess.SP]A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
    • [eess.SP]An Underparametrized Deep Decoder Architecture for Graph Signals
    • [eess.SP]Complex-BP-Neural-Network-based Hybrid Precoding for Millimeter Wave Multiuser Massive MIMO Systems
    • [eess.SP]Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage
    • [eess.SP]Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach
    • [eess.SP]Optimized Transmission for Parameter Estimation in Wireless Sensor Networks
    • [math.CO]New nonexistence results on $(m,n)$-generalized bent functions
    • [math.NA]Exact and Fast Inversion of the Approximate Discrete Radon Transform
    • [math.OC]Gradient Flows and Accelerated Proximal Splitting Methods
    • [math.ST]Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
    • [math.ST]Iterations of dependent random maps and exogeneity in nonlinear dynamics
    • [math.ST]Properties of adaptively weighted Fisher’s method
    • [math.ST]Why Simple Quadrature is just as good as Monte Carlo
    • [physics.chem-ph]Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the “Wrong” Predictions
    • [physics.med-ph]Identification of gatekeeper diseases on the way to cardiovascular mortality
    • [q-bio.BM]Universal Transforming Geometric Network
    • [q-bio.OT]Deep learning languages: a key fundamental shift from probabilities to weights?
    • [q-fin.CP]Agglomerative Fast Super-Paramagnetic Clustering
    • [stat.AP]Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
    • [stat.AP]Comparing sleep studies in terms of the Apnea-Hypopnea Index
    • [stat.AP]Functional Ratings in Sports
    • [stat.AP]Generalised Joint Regression for Count Data with a Focus on Modelling Football Matches
    • [stat.AP]Structure retrieval from 4D-STEM: statistical analysis of potential pitfalls in high-dimensional data
    • [stat.AP]Teasing out the overall survival benefit with adjustment for treatment switching to other therapies
    • [stat.ME]Population Predictive Checks
    • [stat.ML]Deep ReLU network approximation of functions on a manifold
    • [stat.ML]Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs
    • [stat.ML]Differential Privacy for Sparse Classification Learning
    • [stat.ML]Inferring linear and nonlinear Interaction networks using neighborhood support vector machines

    ·····································

    • [astro-ph.CO]Exact joint likelihood of pseudo-$C_\ell$ estimates from correlated Gaussian cosmological fields
    Robin E. Upham, Lee Whittaker, Michael L. Brown
    http://arxiv.org/abs/1908.00795v1

    • [cs.AI]Bayesian Persuasion with Sequential Games
    Andrea Celli, Stefano Coniglio, Nicola Gatti
    http://arxiv.org/abs/1908.00877v1

    • [cs.CL]A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
    Dominik Macháček, Jonáš Kratochvíl, Tereza Vojtěchová, Ondřej Bojar
    http://arxiv.org/abs/1908.00916v1

    • [cs.CL]Contrastive Reasons Detection and Clustering from Online Polarized Debate
    Amine Trabelsi, Osmar R. Zaiane
    http://arxiv.org/abs/1908.00648v1

    • [cs.CL]Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language
    Sandeep Nallan Chakravarthula, Haoqi Li, Shao-Yen Tseng, Maija Reblin, Panayiotis Georgiou
    http://arxiv.org/abs/1908.00908v1

    • [cs.CL]Visualizing RNN States with Predictive Semantic Encodings
    Lindsey Sawatzky, Steven Bergner, Fred Popowich
    http://arxiv.org/abs/1908.00588v1

    • [cs.CR]Road Context-aware Intrusion Detection System for Autonomous Cars
    Jingxuan Jiang, Chundong Wang, Sudipta Chattopadhyay, Wei Zhang
    http://arxiv.org/abs/1908.00732v1

    • [cs.CV]A Structural Graph-Based Method for MRI Analysis
    Larissa de O. Penteado, Mateus Riva, Roberto M. Cesar Jr
    http://arxiv.org/abs/1908.00778v1

    • [cs.CV]AdvGAN++ : Harnessing latent layers for adversary generation
    Puneet Mangla, Surgan Jandial, Sakshi Varshney, Vineeth N Balasubramanian
    http://arxiv.org/abs/1908.00706v1

    • [cs.CV]Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification
    Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
    http://arxiv.org/abs/1908.00862v1

    • [cs.CV]An Evaluation of Action Recognition Models on EPIC-Kitchens
    Will Price, Dima Damen
    http://arxiv.org/abs/1908.00867v1

    • [cs.CV]Captioning Near-Future Activity Sequences
    Tahmida Mahmud, Mohammad Billah, Mahmudul Hasan, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/1908.00943v1

    • [cs.CV]DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking
    Zhenmei Shi, Haoyang Fang, Yu-Wing Tai, Chi-Keung Tang
    http://arxiv.org/abs/1908.00777v1

    • [cs.CV]Distilling Knowledge From a Deep Pose Regressor Network
    Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni
    http://arxiv.org/abs/1908.00858v1

    • [cs.CV]Effects of Illumination on the Categorization of Shiny Materials
    J. Farley Norman, James T. Todd, Flip Phillips
    http://arxiv.org/abs/1908.00902v1

    • [cs.CV]Entry-Exit event detection and learning
    Vinay Kumar V, P Nagabhushan
    http://arxiv.org/abs/1908.00716v1

    • [cs.CV]Indices Matter: Learning to Index for Deep Image Matting
    Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu
    http://arxiv.org/abs/1908.00672v1

    • [cs.CV]L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
    Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker
    http://arxiv.org/abs/1908.00720v1

    • [cs.CV]Learning Lightweight Lane Detection CNNs by Self Attention Distillation
    Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy
    http://arxiv.org/abs/1908.00821v1

    • [cs.CV]Learning the Model Update for Siamese Trackers
    Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan
    http://arxiv.org/abs/1908.00855v1

    • [cs.CV]Learning to Train with Synthetic Humans
    David T. Hoffmann, Dimitrios Tzionas, Micheal J. Black, Siyu Tang
    http://arxiv.org/abs/1908.00967v1

    • [cs.CV]Pothole Detection Based on Disparity Transformation and Road Surface Modeling
    Rui Fan, Umar Ozgunalp, Brett Hosking, Ming Liu, Ioannis Pitas
    http://arxiv.org/abs/1908.00894v1

    • [cs.CV]Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
    Tao Hu, Lichao Huang, Xianming Liu, Han Shen
    http://arxiv.org/abs/1908.00692v1

    • [cs.CV]Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos
    Guoqiang Gong, Liangfeng Zheng, Kun Bai, Yadong Mu
    http://arxiv.org/abs/1908.00707v1

    • [cs.CY]Exploring Challenges and Opportunities in Cybersecurity Risk and Threat Communications Related To The Medical Internet Of Things (MIoT)
    George W. Jackson, Jr., Shawon Rahman
    http://arxiv.org/abs/1908.00666v1

    • [cs.CY]GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue
    Eleni Michailidi, Ioannis Skordas, Maria Papatsimouli, Lazaros Lazaridis, Heracles Michailidis, Stavroula Tavoultzidou, George F. Fragulis
    http://arxiv.org/abs/1908.00337v2

    • [cs.DC]GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
    Shaoyi Peng, Sheldon X. -D. Tan
    http://arxiv.org/abs/1908.00204v2

    • [cs.DC]Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method
    Takeshi Iwashita, Senxi Li, Takeshi Fukaya
    http://arxiv.org/abs/1908.00741v1

    • [cs.DS]Online Payment Network Design
    Georgia Avarikioti, Kenan Besic, Yuyi Wang, Roger Wattenhofer
    http://arxiv.org/abs/1908.00432v1

    • [cs.HC]A Natural-language-based Visual Query Approach of Uncertain Human Trajectories
    Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, Mingliang Xu
    http://arxiv.org/abs/1908.00277v1

    • [cs.HC]OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies
    Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He
    http://arxiv.org/abs/1908.00688v1

    • [cs.HC]Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections
    Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel Keim, Oliver Deussen
    http://arxiv.org/abs/1908.00475v1

    • [cs.HC]Towards Learning How to Properly Play UNO with the iCub Robot
    Pablo Barros, Stefan Wermter, Alessandra Sciutti
    http://arxiv.org/abs/1908.00744v1

    • [cs.IR]Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
    Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
    http://arxiv.org/abs/1908.00831v1

    • [cs.IR]On the Merge of k-NN Graph
    Peng-Cheng Lin, Wan-Lei Zhao
    http://arxiv.org/abs/1908.00814v1

    • [cs.IT]A Notion of Entropy for Stochastic Processes on Marked Rooted Graphs
    Payam Delgosha, Venkat Anantharam
    http://arxiv.org/abs/1908.00964v1

    • [cs.IT]GDoF of Interference Channel with Limited Cooperation under Finite Precision CSIT
    Junge Wang, Bofeng Yuan, Lexiang Huang, Syed A. Jafar
    http://arxiv.org/abs/1908.00703v1

    • [cs.IT]Grip-Aware Analog mmWave Beam Codebook Adaptation for 5G Mobile Handsets
    Ahmad AlAmmouri, Jianhua Mo, Boon Loong Ng, Jianzhong Charlie Zhang, Jeffrey G. Andrews
    http://arxiv.org/abs/1908.00850v1

    • [cs.IT]Interleaved Polar (I-Polar) Codes
    Mao-Ching Chiu
    http://arxiv.org/abs/1908.00708v1

    • [cs.IT]Robust Deep Sensing Through Transfer Learning in Cognitive Radio
    Qihang Peng, Andrew Gilman, Nuno Vasconcelos, Pamela C. Cosman, Laurence B. Milstein
    http://arxiv.org/abs/1908.00658v1

    • [cs.IT]Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities
    Tamir Bendory, Alberto Bartesaghi, Amit Singer
    http://arxiv.org/abs/1908.00574v1

    • [cs.LG]A Hierarchical Bayesian Model for Size Recommendation in Fashion
    Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
    http://arxiv.org/abs/1908.00825v1

    • [cs.LG]A Visual Technique to Analyze Flow of Information in a Machine Learning System
    Abon Chaudhuri
    http://arxiv.org/abs/1908.00754v1

    • [cs.LG]AutoML: A Survey of the State-of-the-Art
    Xin He, Kaiyong Zhao, Xiaowen Chu
    http://arxiv.org/abs/1908.00709v1

    • [cs.LG]Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance
    Qianqian Tong, Guannan Liang, Jinbo Bi
    http://arxiv.org/abs/1908.00700v1

    • [cs.LG]Combining learned skills and reinforcement learning for robotic manipulations
    Robin Strudel, Alexander Pashevich, Igor Kalevatykh, Ivan Laptev, Josef Sivic, Cordelia Schmid
    http://arxiv.org/abs/1908.00722v1

    • [cs.LG]Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations
    Sacha Sokoloski, Ruben Coen-Cagli
    http://arxiv.org/abs/1908.00637v1

    • [cs.LG]Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
    Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth
    http://arxiv.org/abs/1908.00734v1

    • [cs.LG]Efficient computation of counterfactual explanations of LVQ models
    André Artelt, Barbara Hammer
    http://arxiv.org/abs/1908.00735v1

    • [cs.LG]Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
    Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi
    http://arxiv.org/abs/1908.00690v1

    • [cs.LG]Greedy AutoAugment
    Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas
    http://arxiv.org/abs/1908.00704v1

    • [cs.LG]Hybrid Low-order and Higher-order Graph Convolutional Networks
    FangYuan Lei, Xun Liu, QingYun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu
    http://arxiv.org/abs/1908.00673v1

    • [cs.LG]Large-Scale Sparse Subspace Clustering Using Landmarks
    Farhad Pourkamali-Anaraki
    http://arxiv.org/abs/1908.00683v1

    • [cs.LG]Learning Variations in Human Motion via Mix-and-Match Perturbation
    Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, Amirhossein Habibian
    http://arxiv.org/abs/1908.00733v1

    • [cs.LG]Machine Learning as Ecology
    Owen Howell, Cui Wenping, Robert Marsland III, Pankaj Mehta
    http://arxiv.org/abs/1908.00868v1

    • [cs.LG]Mixed-Integer Optimization Approach to Learning Association Rules for Unplanned ICU Transfer
    Chun-An Chou, Qingtao Cao, Shao-Jen Weng, Che-Hung Tsai
    http://arxiv.org/abs/1908.00966v1

    • [cs.LG]Network with Sub-Networks
    Ninnart Fuengfusin, Hakaru Tamukoh
    http://arxiv.org/abs/1908.00763v1

    • [cs.LG]Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks
    Yuqi Cui, Dongrui Wu
    http://arxiv.org/abs/1908.00636v1

    • [cs.LG]Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
    Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/1908.00598v1

    • [cs.NA]A Randomized Algorithm for Preconditioner Selection
    Conner DiPaolo, Weiqing Gu
    http://arxiv.org/abs/1908.00633v1

    • [cs.NE]A self-organizing fuzzy neural network for sequence learning
    Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh
    http://arxiv.org/abs/1908.00617v1

    • [cs.NE]Merging variables: one technique of search in pseudo-Boolean optimization
    Alexander A. Semenov
    http://arxiv.org/abs/1908.00751v1

    • [cs.RO]Asynchronous Network Formation in Unknown Unbounded Environments
    Selim Engin, Volkan Isler
    http://arxiv.org/abs/1908.00914v1

    • [cs.RO]Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference
    Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam
    http://arxiv.org/abs/1908.00641v1

    • [cs.SD]High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction
    Stefan Lattner, Maarten Grachten
    http://arxiv.org/abs/1908.00948v1

    • [econ.EM]Heterogeneous Endogenous Effects in Networks
    Sida Peng
    http://arxiv.org/abs/1908.00663v1

    • [eess.AS]Sound source detection, localization and classification using consecutive ensemble of CRNN models
    Sławomir Kapka, Mateusz Lewandowski
    http://arxiv.org/abs/1908.00766v1

    • [eess.IV]An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
    José Ignacio Orlando, Anna Breger, Hrvoje Bogunović, Sophie Riedl, Bianca S. Gerendas, Martin Ehler, Ursula Schmidt-Erfurth
    http://arxiv.org/abs/1908.00764v1

    • [eess.IV]Attention-guided Low-light Image Enhancement
    Feifan Lv, Feng Lu
    http://arxiv.org/abs/1908.00682v1

    • [eess.IV]Deep Video Precoding
    Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev, Vasileios Giotsas, Yiannis Andreopoulos
    http://arxiv.org/abs/1908.00812v1

    • [eess.IV]Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior
    Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
    http://arxiv.org/abs/1908.00788v1

    • [eess.IV]Improving localization-based approaches for breast cancer screening exam classification
    Thibault Févry, Jason Phang, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
    http://arxiv.org/abs/1908.00615v1

    • [eess.IV]Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
    Christian Payer, Darko Štern, Horst Bischof, Martin Urschler
    http://arxiv.org/abs/1908.00748v1

    • [eess.IV]MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
    Henrik Skibbe, Akiya Watakabe, Ken Nakae, Carlos Enrique Gutierrez, Hiromichi Tsukada, Junichi Hata, Takashi Kawase, Rui Gong, Alexander Woodward, Kenji Doya, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii
    http://arxiv.org/abs/1908.00876v1

    • [eess.IV]Multi-Scale Learned Iterative Reconstruction
    Andreas Hauptmann, Jonas Adler, Simon Arridge, Ozan Öktem
    http://arxiv.org/abs/1908.00936v1

    • [eess.IV]Space-adaptive anisotropic bivariate Laplacian regularization for image restoration
    Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
    http://arxiv.org/abs/1908.00801v1

    • [eess.IV]Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say “I don’t know” for Ambiguous Cases
    Max-Heinrich Laves, Sontje Ihler, Tobias Ortmaier
    http://arxiv.org/abs/1908.00792v1

    • [eess.SP]A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
    Yijin Pan, Cunhua Pan, Zhaohui Yang, Ming Chen, Jiangzhou Wang
    http://arxiv.org/abs/1908.00786v1

    • [eess.SP]An Underparametrized Deep Decoder Architecture for Graph Signals
    Samuel Rey, Antonio G. Marques, Santiago Segarra
    http://arxiv.org/abs/1908.00878v1

    • [eess.SP]Complex-BP-Neural-Network-based Hybrid Precoding for Millimeter Wave Multiuser Massive MIMO Systems
    Kai Chen, Jing Yang, Xiaohu Ge, Yonghui Li
    http://arxiv.org/abs/1908.00404v1

    • [eess.SP]Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage
    Jinfeng Du, Dmitry Chizhik, Reinaldo A. Valenzuela, Rodolfo Feick, Guillermo Castro, Mauricio Rodriguez, Tingjun Chen, Manav Kohli, Gil Zussman
    http://arxiv.org/abs/1908.00512v2

    • [eess.SP]Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach
    Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
    http://arxiv.org/abs/1908.00160v2

    • [eess.SP]Optimized Transmission for Parameter Estimation in Wireless Sensor Networks
    Shahin Khobahi, Mojtaba Soltanalian, Feng Jiang, A. Lee Swindlehurst
    http://arxiv.org/abs/1908.00600v1

    • [math.CO]New nonexistence results on $(m,n)$-generalized bent functions
    Ka Hin Leung, Qi Wang
    http://arxiv.org/abs/1908.00842v1

    • [math.NA]Exact and Fast Inversion of the Approximate Discrete Radon Transform
    Donsub Rim
    http://arxiv.org/abs/1908.00887v1

    • [math.OC]Gradient Flows and Accelerated Proximal Splitting Methods
    Guilherme França, Daniel P. Robinson, René Vidal
    http://arxiv.org/abs/1908.00865v1

    • [math.ST]Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
    Thibaut Le Gouic, Quentin Paris, Philippe Rigollet, Austin J. Stromme
    http://arxiv.org/abs/1908.00828v1

    • [math.ST]Iterations of dependent random maps and exogeneity in nonlinear dynamics
    Max Zinsou Debaly, Lionel Truquet
    http://arxiv.org/abs/1908.00845v1

    • [math.ST]Properties of adaptively weighted Fisher’s method
    Yusi Fang, Shaowu Tang, Zhiguang Huo, George C. Tseng, Yongseok Park
    http://arxiv.org/abs/1908.00583v1

    • [math.ST]Why Simple Quadrature is just as good as Monte Carlo
    Kevin Vanslette, Abdullatif Al Alsheikh, Kamal Youcef-Toumi
    http://arxiv.org/abs/1908.00947v1

    • [physics.chem-ph]Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the “Wrong” Predictions
    Hongliang Duan, Ling Wang, Chengyun Zhang, Jianjun Li
    http://arxiv.org/abs/1908.00727v1

    • [physics.med-ph]Identification of gatekeeper diseases on the way to cardiovascular mortality
    Nils Haug, Stefan Thurner, Alexandra Kautzky-Willer, Michael Gyimesi, Peter Klimek
    http://arxiv.org/abs/1908.00920v1

    • [q-bio.BM]Universal Transforming Geometric Network
    Jin Li
    http://arxiv.org/abs/1908.00723v1

    • [q-bio.OT]Deep learning languages: a key fundamental shift from probabilities to weights?
    François Coste
    http://arxiv.org/abs/1908.00785v1

    • [q-fin.CP]Agglomerative Fast Super-Paramagnetic Clustering
    Lionel Yelibi, Tim Gebbie
    http://arxiv.org/abs/1908.00951v1

    • [stat.AP]Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
    Siamak Zamani Dadaneh, Paul de Figueiredo, Sing-Hoi Sze, Mingyuan Zhou, Xiaoning Qian
    http://arxiv.org/abs/1908.00650v1

    • [stat.AP]Comparing sleep studies in terms of the Apnea-Hypopnea Index
    Marcel Młyńczak, Tulio A. Valdez, Wojciech Kukwa
    http://arxiv.org/abs/1908.00960v1

    • [stat.AP]Functional Ratings in Sports
    Bradley Lowery, Abigail Slater, Kaison Thies
    http://arxiv.org/abs/1908.00939v1

    • [stat.AP]Generalised Joint Regression for Count Data with a Focus on Modelling Football Matches
    Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice
    http://arxiv.org/abs/1908.00823v1

    • [stat.AP]Structure retrieval from 4D-STEM: statistical analysis of potential pitfalls in high-dimensional data
    Xin Li, Ondrej Dyck, Stephen Jesse, Andrew R. Lupini, Sergei V. Kalinin, Mark P. Oxley
    http://arxiv.org/abs/1908.00659v1

    • [stat.AP]Teasing out the overall survival benefit with adjustment for treatment switching to other therapies
    Yuqing Xu, Meijing Wu, Weili He, Qiming Liao, Yabing Mai
    http://arxiv.org/abs/1908.00654v1

    • [stat.ME]Population Predictive Checks
    Rajesh Ranganath, David M. Blei
    http://arxiv.org/abs/1908.00882v1

    • [stat.ML]Deep ReLU network approximation of functions on a manifold
    Johannes Schmidt-Hieber
    http://arxiv.org/abs/1908.00695v1

    • [stat.ML]Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs
    Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
    http://arxiv.org/abs/1908.00963v1

    • [stat.ML]Differential Privacy for Sparse Classification Learning
    Puyu Wang, Hai Zhang
    http://arxiv.org/abs/1908.00780v1

    • [stat.ML]Inferring linear and nonlinear Interaction networks using neighborhood support vector machines
    Kamel Jebreen, Badih Ghattas
    http://arxiv.org/abs/1908.00762v1