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
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• [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