今日学术视野(2019.1.19)
cs.AI - 人工智能
cs.CE - 计算工程、 金融和科学
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.NE - 神经与进化计算
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
eess.SP - 信号处理
math.DS - 动力系统
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition
• [cs.AI]Multi-Agent Pathfinding (MAPF) with Continuous Time
• [cs.AI]Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles
• [cs.CE]Fleet Prognosis with Physics-informed Recurrent Neural Networks
• [cs.CL]Robust Chinese Word Segmentation with Contextualized Word Representations
• [cs.CR]Differentially-Private Two-Party Egocentric Betweenness Centrality
• [cs.CR]VeriSign: A Secure Contract Consensus Platform on the Blockchain with Amendment Functionality
• [cs.CV]AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
• [cs.CV]Background subtraction on depth videos with convolutional neural networks
• [cs.CV]Certainty-Driven Consistency Loss for Semi-supervised Learning
• [cs.CV]Class-Balanced Loss Based on Effective Number of Samples
• [cs.CV]Cognitive Analysis of 360 degree Surround Photos
• [cs.CV]Conditional Domain Adaptation GANs for Biomedical Image Segmentation
• [cs.CV]Cone-beam CT to Planning CT synthesis using generative adversarial networks
• [cs.CV]Deep Transfer Across Domains for Face Anti-spoofing
• [cs.CV]Domain Adaptation for Structured Output via Discriminative Patch Representations
• [cs.CV]EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
• [cs.CV]Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
• [cs.CV]Ensemble Feature for Person Re-Identification
• [cs.CV]Foreground-aware Image Inpainting
• [cs.CV]Hand Sign to Bangla Speech: A Deep Learning in Vision based system for Recognizing Hand Sign Digits and Generating Bangla Speech
• [cs.CV]Image Enhancement Network Trained by Using HDR images
• [cs.CV]Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
• [cs.CV]Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
• [cs.CV]No reference image quality assessment metric based on regional mutual information among images
• [cs.CV]Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation
• [cs.CV]Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)
• [cs.CV]SAFE: Scale Aware Feature Encoder for Scene Text Recognition
• [cs.CV]Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation
• [cs.CV]Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction
• [cs.CV]Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
• [cs.CV]UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
• [cs.CV]Video-Based Pedestrian Attribute Recognition
• [cs.CV]Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks
• [cs.CY]Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains
• [cs.CY]Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines
• [cs.CY]Topological Analysis of Bitcoin's Lightning Network
• [cs.CY]Trends in Demand, Growth, and Breadth in Scientific Computing Training Delivered by a High-Performance Computing Center
• [cs.DC]A Multilevel Approach for the Performance Analysis of Parallel Algorithms
• [cs.DC]Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
• [cs.DC]Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
• [cs.DC]High performance scheduling of mixed-mode DAGs on heterogeneous multicores
• [cs.DC]How to Place Your Apps in the Fog - State of the Art and Open Challenges
• [cs.DS]Boolean matrix factorization meets consecutive ones property
• [cs.HC]Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
• [cs.IR]Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]
• [cs.IR]Unsupervised Graph-based Rank Aggregation for Improved Retrieval
• [cs.IT]A Capacity-Achieving -PIR Scheme Based On MDS Array Codes
• [cs.IT]A Direct and Generalized Construction of Polyphase Complementary Set with Low PMEPR and High Code-Rate for OFDM System
• [cs.IT]A New Inequality Related to Proofs of Strong Converse Theorems for Source or Channel Networks
• [cs.IT]A Relation Between Weight Enumerating Function and Number of Full Rank Sub-matrices
• [cs.IT]AI Coding: Learning to Construct Error Correction Codes
• [cs.IT]Age of Information With Prioritized Streams: When to Buffer Preempted Packets?
• [cs.IT]Deep Holes of Projective Reed-Solomon Codes
• [cs.IT]Deep Learning for Joint MIMO Detection and Channel Decoding
• [cs.IT]Denoising of structured random processes
• [cs.IT]Joint Source-Channel Coding for the Multiple-Access Channel with Correlated Sources
• [cs.IT]Locality in Index Coding for Large Min-Rank
• [cs.IT]On Coded Caching with Correlated Files
• [cs.IT]On Index coding for Complementary Graphs with focus on Circular Perfect Graphs
• [cs.IT]On Multi-Cell Uplink-Downlink Duality with Treating Inter-Cell Interference as Noise
• [cs.IT]On Pliable Index Coding
• [cs.IT]On the Optimality of D2D Coded Caching with Uncoded Cache Placement and One-shot Delivery
• [cs.IT]One-Shot Perfect Secret Key Agreement for Finite Linear Sources
• [cs.IT]Permutation Decoding of Polar Codes
• [cs.IT]Private Authentication: Optimal Information Theoretic Schemes
• [cs.IT]Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems
• [cs.IT]Set-Codes with Small Intersections and Small Discrepancies
• [cs.IT]Side-Channel Attacks to Broadcasting of Encrypted Sources Using Correlated Keys
• [cs.IT]Sparse Non-Negative Recovery from Biased Subgaussian Measurements using NNLS
• [cs.IT]Spatially Coupled LDPC Codes and the Multiple Access Channel
• [cs.IT]Two classes of linear codes with a few weights based on twisted Kloosterman sums
• [cs.LG]Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
• [cs.LG]Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
• [cs.LG]Artificial Neural Networks
• [cs.LG]Attentive Neural Processes
• [cs.LG]CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
• [cs.LG]Deep learning-based electroencephalography analysis: a systematic review
• [cs.LG]Disentangling Video with Independent Prediction
• [cs.LG]Diverse mini-batch Active Learning
• [cs.LG]Efficient Matrix Profile Computation Using Different Distance Functions
• [cs.LG]Generating Realistic Sequences of Customer-level Transactions for Retail Datasets
• [cs.LG]Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
• [cs.LG]Learning Tractable Probabilistic Models in Open Worlds
• [cs.LG]Quadratic Autoencoder for Low-Dose CT Denoising
• [cs.LG]Representation Learning on Graphs: A Reinforcement Learning Application
• [cs.LG]The Oracle of DLphi
• [cs.LG]The information-theoretic value of unlabeled data in semi-supervised learning
• [cs.LG]Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
• [cs.LG]Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
• [cs.NE]Genetic Algorithms and the Traveling Salesman Problem a historical Review
• [cs.NE]Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation
• [cs.NE]Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
• [cs.RO]Autonomous visual inspection of large-scale infrastructures using aerial robots
• [cs.RO]Evolving embodied intelligence from materials to machines
• [cs.RO]Interactive Plan Explicability in Human-Robot Teaming
• [cs.RO]Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification
• [cs.RO]Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees
• [cs.RO]Sign Language Representation by TEO Humanoid Robot: End-User Interest, Comprehension and Satisfaction
• [cs.SI]Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network
• [eess.SP]Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
• [eess.SP]Fast Deep Learning for Automatic Modulation Classification
• [math.DS]Double variational principle for mean dimension
• [math.DS]Double variational principle for mean dimension with potential
• [math.OC]A Multi-Level Simulation Optimization Approach for Quantile Functions
• [math.PR]A Unified Approach for Solving Sequential Selection Problems
• [math.PR]New particle representations for ergodic McKean-Vlasov SDEs
• [math.ST]Model-Free Tests for Series Correlation in Multivariate Linear Regression
• [math.ST]Nonparametric estimation for fractional diffusion processes with random effects
• [math.ST]Optimal cleaning for singular values of cross-covariance matrices
• [math.ST]Peak-over-Threshold Estimators for Spectral Tail Processes: Random vs Deterministic Thresholds
• [math.ST]Strong Asymptotic Properties of Kernel Smooth Density and Hazard Function Estimation for Right Censoring NA Data
• [quant-ph]Bipartite Quantum Interactions: Entangling and Information Processing Abilities
• [stat.AP]Application of Stochastic and Deterministic Techniques for Uncertainty Quantification and Sensitivity Analysis of Energy Systems
• [stat.AP]Prediction of the 2019 IHF World Men's Handball Championship - An underdispersed sparse count data regression model
• [stat.ME]-sample omnibus non-proportional hazards tests based on right-censored data
• [stat.ME]Score-based Tests for Explaining Upper-Level Heterogeneity in Linear Mixed Models
• [stat.ML]A Random Walk Approach to First-Order Stochastic Convex Optimization
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• [cs.AI]Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition
Soheila Sadeghiram, Hui MA, Gang Chen
http://arxiv.org/abs/1901.05564v1
• [cs.AI]Multi-Agent Pathfinding (MAPF) with Continuous Time
Anton Andreychuk, Konstantin Yakovlev, Dor Atzmon, Roni Stern
http://arxiv.org/abs/1901.05506v1
• [cs.AI]Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles
Rocío Díaz de León Torres, Martín Molina, Pascual Campoy
http://arxiv.org/abs/1901.05517v1
• [cs.CE]Fleet Prognosis with Physics-informed Recurrent Neural Networks
Renato Giorgiani Nascimento, Felipe A. C. Viana
http://arxiv.org/abs/1901.05512v1
• [cs.CL]Robust Chinese Word Segmentation with Contextualized Word Representations
Yung-Sung Chuang
http://arxiv.org/abs/1901.05816v1
• [cs.CR]Differentially-Private Two-Party Egocentric Betweenness Centrality
Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague
http://arxiv.org/abs/1901.05562v1
• [cs.CR]VeriSign: A Secure Contract Consensus Platform on the Blockchain with Amendment Functionality
Mustafa Bal, Rangel Milushev, Kaan Armagan
http://arxiv.org/abs/1901.05182v1
• [cs.CV]AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
Sumanth Chennupati, Ganesh Sistu, Senthil Yogamani, Samir Rawashdeh
http://arxiv.org/abs/1901.05808v1
• [cs.CV]Background subtraction on depth videos with convolutional neural networks
Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng
http://arxiv.org/abs/1901.05676v1
• [cs.CV]Certainty-Driven Consistency Loss for Semi-supervised Learning
Yingting Li, Lu Liu, Robby T. Tan
http://arxiv.org/abs/1901.05657v1
• [cs.CV]Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie
http://arxiv.org/abs/1901.05555v1
• [cs.CV]Cognitive Analysis of 360 degree Surround Photos
Madhawa Vidanapathirana, Lakmal Meegahapola, Indika Perera
http://arxiv.org/abs/1901.05634v1
• [cs.CV]Conditional Domain Adaptation GANs for Biomedical Image Segmentation
Hugo Oliveira, Edemir Ferreira, Jefersson A. dos Santos
http://arxiv.org/abs/1901.05553v1
• [cs.CV]Cone-beam CT to Planning CT synthesis using generative adversarial networks
S. Kida, S. Kaji, K. Nawa, T. Imae, T. Nakamoto, S. Ozaki, T. Ohta, Y. Nozawa, K. Nakagawa
http://arxiv.org/abs/1901.05773v1
• [cs.CV]Deep Transfer Across Domains for Face Anti-spoofing
Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma
http://arxiv.org/abs/1901.05633v1
• [cs.CV]Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
http://arxiv.org/abs/1901.05427v2
• [cs.CV]EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
http://arxiv.org/abs/1901.05884v1
• [cs.CV]Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma
http://arxiv.org/abs/1901.05635v1
• [cs.CV]Ensemble Feature for Person Re-Identification
Jiabao Wang, Yang Li, Zhuang Miao
http://arxiv.org/abs/1901.05798v1
• [cs.CV]Foreground-aware Image Inpainting
Wei Xiong, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo
http://arxiv.org/abs/1901.05945v1
• [cs.CV]Hand Sign to Bangla Speech: A Deep Learning in Vision based system for Recognizing Hand Sign Digits and Generating Bangla Speech
Shahjalal Ahmed, Md. Rafiqul Islam, Jahid Hassan, Minhaz Uddin Ahmed, Bilkis Jamal Ferdosi, Sanjay Saha, Md. Shopon
http://arxiv.org/abs/1901.05613v1
• [cs.CV]Image Enhancement Network Trained by Using HDR images
Yuma Kinoshita, Hitoshi Kiya
http://arxiv.org/abs/1901.05686v1
• [cs.CV]Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Xiaoguang Tu, Jian Zhao, Mei Xie, Guodong Du, Hengsheng Zhang, Jianshu Li, Zheng Ma, Jiashi Feng
http://arxiv.org/abs/1901.05602v1
• [cs.CV]Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET
Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquim Salvi, Àlex Rovira, Xavier Lladó
http://arxiv.org/abs/1901.05733v1
• [cs.CV]No reference image quality assessment metric based on regional mutual information among images
Vinay Kumar, Vivek Singh Bawa
http://arxiv.org/abs/1901.05811v1
• [cs.CV]Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation
Xia Li, Yen-Liang Lin, James Miller, Alex Cheon, Walt Dixon
http://arxiv.org/abs/1901.05554v1
• [cs.CV]Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)
Abhishek Das, Devi Parikh, Dhruv Batra
http://arxiv.org/abs/1901.05531v1
• [cs.CV]SAFE: Scale Aware Feature Encoder for Scene Text Recognition
Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong
http://arxiv.org/abs/1901.05770v1
• [cs.CV]Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation
Christos Sakaridis, Dengxin Dai, Luc Van Gool
http://arxiv.org/abs/1901.05946v1
• [cs.CV]Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction
Shichen Liu, Weikai Chen, Tianye Li, Hao Li
http://arxiv.org/abs/1901.05567v1
• [cs.CV]Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network
Lei Fan, Yucai Bai, Ziyu Pan, Long Chen
http://arxiv.org/abs/1901.05807v1
• [cs.CV]UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks
Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet
http://arxiv.org/abs/1901.05880v1
• [cs.CV]Video-Based Pedestrian Attribute Recognition
Zhiyuan Chen, Annan Li, Yunhong Wang
http://arxiv.org/abs/1901.05742v1
• [cs.CV]Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks
Gladys Hilasaca, Fernando Paulovich
http://arxiv.org/abs/1901.05556v1
• [cs.CY]Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains
Oluwaseyi Feyisetan, Elena Simperl
http://arxiv.org/abs/1901.05670v1
• [cs.CY]Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines
Marcelo Ponce, Erik Spence, Ramses van Zon, Daniel Gruner
http://arxiv.org/abs/1901.05484v1
• [cs.CY]Topological Analysis of Bitcoin's Lightning Network
István András Seres, László Gulyás, Dániel A. Nagy, Péter Burcsi
http://arxiv.org/abs/1901.04972v2
• [cs.CY]Trends in Demand, Growth, and Breadth in Scientific Computing Training Delivered by a High-Performance Computing Center
Ramses van Zon, Marcelo Ponce, Erik Spence, Daniel Gruner
http://arxiv.org/abs/1901.05520v1
• [cs.DC]A Multilevel Approach for the Performance Analysis of Parallel Algorithms
Luisa D'Amore, Valeria Mele, Diego Romano, Giuliano Laccetti
http://arxiv.org/abs/1901.05836v1
• [cs.DC]Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh
http://arxiv.org/abs/1901.05803v1
• [cs.DC]Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
http://arxiv.org/abs/1901.05758v1
• [cs.DC]High performance scheduling of mixed-mode DAGs on heterogeneous multicores
Agnes Rohlin, Henrik Fahlgren, Miquel Pericas
http://arxiv.org/abs/1901.05907v1
• [cs.DC]How to Place Your Apps in the Fog - State of the Art and Open Challenges
Antonio Brogi, Stefano Forti, Carlos Guerrero, Isaac Lera
http://arxiv.org/abs/1901.05717v1
• [cs.DS]Boolean matrix factorization meets consecutive ones property
Nikolaj Tatti, Pauli Miettinen
http://arxiv.org/abs/1901.05797v1
• [cs.HC]Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
Nese Alyuz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme
http://arxiv.org/abs/1901.05835v1
• [cs.IR]**Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]****
Efi Karra Taniskidou, George Papadakis, George Giannakopoulos, Manolis Koubarakis
http://arxiv.org/abs/1901.05497v1
• [cs.IR]Unsupervised Graph-based Rank Aggregation for Improved Retrieval
Icaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
http://arxiv.org/abs/1901.05743v1
• [cs.IT]A Capacity-Achieving -PIR Scheme Based On MDS Array Codes
Jingke Xu, Yaqian Zhang, Zhifang Zhang
http://arxiv.org/abs/1901.05772v1
• [cs.IT]A Direct and Generalized Construction of Polyphase Complementary Set with Low PMEPR and High Code-Rate for OFDM System
Palash Sarkar, Sudhan Majhi, Zilong Liu
http://arxiv.org/abs/1901.05545v1
• [cs.IT]A New Inequality Related to Proofs of Strong Converse Theorems for Source or Channel Networks
Yasutada Oohama
http://arxiv.org/abs/1901.04968v2
• [cs.IT]A Relation Between Weight Enumerating Function and Number of Full Rank Sub-matrices
Mahesh Babu Vaddi, B. Sundar Rajan
http://arxiv.org/abs/1901.05721v1
• [cs.IT]AI Coding: Learning to Construct Error Correction Codes
Lingchen Huang, Huazi Zhang, Rong Li, Yiqun Ge, Jun Wang
http://arxiv.org/abs/1901.05719v1
• [cs.IT]Age of Information With Prioritized Streams: When to Buffer Preempted Packets?
Ali Maatouk, Mohamad Assaad, Anthony Ephremides
http://arxiv.org/abs/1901.05871v1
• [cs.IT]Deep Holes of Projective Reed-Solomon Codes
Jun Zhang, Daqing Wan, Krishna Kaipa
http://arxiv.org/abs/1901.05445v1
• [cs.IT]Deep Learning for Joint MIMO Detection and Channel Decoding
Taotao Wang, Lihao Zhang, Soung Chang Liew
http://arxiv.org/abs/1901.05647v1
• [cs.IT]Denoising of structured random processes
Wenda Zhou, Shirin Jalali
http://arxiv.org/abs/1901.05937v1
• [cs.IT]Joint Source-Channel Coding for the Multiple-Access Channel with Correlated Sources
Arezou Rezazadeh, Josep Font-Segura, Alfonso Martinez, Albert Guillén i Fàbregas
http://arxiv.org/abs/1901.05778v1
• [cs.IT]Locality in Index Coding for Large Min-Rank
Lakshmi Natarajan, Hoang Dau, Prasad Krishnan, V. Lalitha
http://arxiv.org/abs/1901.05908v1
• [cs.IT]On Coded Caching with Correlated Files
Kai Wan, Daniela Tuninetti, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/1901.05732v1
• [cs.IT]On Index coding for Complementary Graphs with focus on Circular Perfect Graphs
Bhavana M, Prasad Krishnan
http://arxiv.org/abs/1901.05898v1
• [cs.IT]On Multi-Cell Uplink-Downlink Duality with Treating Inter-Cell Interference as Noise
Hamdi Joudeh, Xinping Yi, Bruno Clerckx
http://arxiv.org/abs/1901.05747v1
• [cs.IT]On Pliable Index Coding
Shanuja Sasi, B. Sundar Rajan
http://arxiv.org/abs/1901.05809v1
• [cs.IT]On the Optimality of D2D Coded Caching with Uncoded Cache Placement and One-shot Delivery
Çağkan Yapar, Kai Wan, Rafael F. Schaefer, Giuseppe Caire
http://arxiv.org/abs/1901.05921v1
• [cs.IT]One-Shot Perfect Secret Key Agreement for Finite Linear Sources
Chung Chan, Navin Kashyap, Praneeth Kumar Vippathalla, Qiaoqiao Zhou
http://arxiv.org/abs/1901.05817v1
• [cs.IT]Permutation Decoding of Polar Codes
Mikhail Kamenev, Yulia Kameneva, Oleg Kurmaev, Alexey Maevskiy
http://arxiv.org/abs/1901.05459v1
• [cs.IT]Private Authentication: Optimal Information Theoretic Schemes
Narges Kazempour, Mahtab Mirmohseni, Mohammad Reza Aref
http://arxiv.org/abs/1901.05927v1
• [cs.IT]Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems
Walid R. Ghanem, Vahid Jamali, Yan Sun, Robert Schober
http://arxiv.org/abs/1901.05825v1
• [cs.IT]Set-Codes with Small Intersections and Small Discrepancies
R. Gabrys, H. S. Dau, C. J. Colbourn, O. Milenkovic
http://arxiv.org/abs/1901.05559v1
• [cs.IT]Side-Channel Attacks to Broadcasting of Encrypted Sources Using Correlated Keys
Bagus Santoso, Yasutada Oohama
http://arxiv.org/abs/1901.05940v1
• [cs.IT]Sparse Non-Negative Recovery from Biased Subgaussian Measurements using NNLS
Yonatan Shadmi, Peter Jung, Giuseppe Caire
http://arxiv.org/abs/1901.05727v1
• [cs.IT]Spatially Coupled LDPC Codes and the Multiple Access Channel
Sebastian Cammerer, Xiaojie Wang, Yingyan Ma, Stephan ten Brink
http://arxiv.org/abs/1901.05877v1
• [cs.IT]Two classes of linear codes with a few weights based on twisted Kloosterman sums
Minglong Qi, Shengwu Xiong
http://arxiv.org/abs/1901.05662v1
• [cs.LG]Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
Gyeong Taek Lee, Chang Ouk Kim
http://arxiv.org/abs/1901.05856v1
• [cs.LG]Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference
Xinyu Hu, Paul Szerlip, Theofanis Karaletsos, Rohit Singh
http://arxiv.org/abs/1901.05906v1
• [cs.LG]Artificial Neural Networks
B. Mehlig
http://arxiv.org/abs/1901.05639v1
• [cs.LG]Attentive Neural Processes
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
http://arxiv.org/abs/1901.05761v1
• [cs.LG]CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar
http://arxiv.org/abs/1901.05582v1
• [cs.LG]Deep learning-based electroencephalography analysis: a systematic review
Roy Yannick, Banville Hubert, Albuquerque Isabela, Gramfort Alexandre, Falk Tiago H., Faubert Jocelyn
http://arxiv.org/abs/1901.05498v1
• [cs.LG]Disentangling Video with Independent Prediction
William F. Whitney, Rob Fergus
http://arxiv.org/abs/1901.05590v1
• [cs.LG]Diverse mini-batch Active Learning
Fedor Zhdanov
http://arxiv.org/abs/1901.05954v1
• [cs.LG]Efficient Matrix Profile Computation Using Different Distance Functions
Reza Akbarinia, Bertrand Cloez
http://arxiv.org/abs/1901.05708v1
• [cs.LG]Generating Realistic Sequences of Customer-level Transactions for Retail Datasets
Thang Doan, Neil Veira, Brian Keng
http://arxiv.org/abs/1901.05577v1
• [cs.LG]Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/1901.05534v1
• [cs.LG]Learning Tractable Probabilistic Models in Open Worlds
Amelie Levray, Vaishak Belle
http://arxiv.org/abs/1901.05847v1
• [cs.LG]Quadratic Autoencoder for Low-Dose CT Denoising
Fenglei Fan, Hongming Shan, Ge Wang
http://arxiv.org/abs/1901.05593v1
• [cs.LG]Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
http://arxiv.org/abs/1901.05351v2
• [cs.LG]The Oracle of DLphi
Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan Macdonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber
http://arxiv.org/abs/1901.05744v1
• [cs.LG]The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev, Dávid Pál, Balázs Szörényi
http://arxiv.org/abs/1901.05515v1
• [cs.LG]Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
Michael L. Iuzzolino, Michael E. Walker, Daniel Szafir
http://arxiv.org/abs/1901.05599v1
• [cs.LG]Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
Chuan Wang, Takeshi Onishi, Keiichi Nemoto, Kwan-Liu Ma
http://arxiv.org/abs/1901.05574v1
• [cs.NE]Genetic Algorithms and the Traveling Salesman Problem a historical Review
Jan Scholz
http://arxiv.org/abs/1901.05737v1
• [cs.NE]Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation
Furong Ye, Carola Doerr, Thomas Bäck
http://arxiv.org/abs/1901.05573v1
• [cs.NE]Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
http://arxiv.org/abs/1901.05755v1
• [cs.RO]Autonomous visual inspection of large-scale infrastructures using aerial robots
Christoforos Kanellakis, Emil Fresk, Sina Sharif Mansouri, Dariusz Kominiak, George Nikolakopoulos
http://arxiv.org/abs/1901.05510v1
• [cs.RO]Evolving embodied intelligence from materials to machines
David Howard, Agoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, Dave Winkler
http://arxiv.org/abs/1901.05704v1
• [cs.RO]Interactive Plan Explicability in Human-Robot Teaming
Mehrdad Zakershahrak, Yu Zhang
http://arxiv.org/abs/1901.05642v1
• [cs.RO]Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification
Abhishek Venkataraman, Brent Griffin, Jason J. Corso
http://arxiv.org/abs/1901.05580v1
• [cs.RO]Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees
Yulun Tian, Kasra Khosoussi, Jonathan P. How
http://arxiv.org/abs/1901.05925v1
• [cs.RO]Sign Language Representation by TEO Humanoid Robot: End-User Interest, Comprehension and Satisfaction
Jennifer J. Gago, Juan G. Victores, Carlos Balaguer
http://arxiv.org/abs/1901.05939v1
• [cs.SI]Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network
Taylor Sweet, Austin Rothwell, Xuan Luo
http://arxiv.org/abs/1901.05949v1
• [eess.SP]Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang
http://arxiv.org/abs/1901.05529v1
• [eess.SP]Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar
http://arxiv.org/abs/1901.05850v1
• [math.DS]Double variational principle for mean dimension
Elon Lindenstrauss, Masaki Tsukamoto
http://arxiv.org/abs/1901.05623v1
• [math.DS]Double variational principle for mean dimension with potential
Masaki Tsukamoto
http://arxiv.org/abs/1901.05628v1
• [math.OC]A Multi-Level Simulation Optimization Approach for Quantile Functions
Songhao Wang, Szu Hui Ng, William Benjamin Haskell
http://arxiv.org/abs/1901.05768v1
• [math.PR]A Unified Approach for Solving Sequential Selection Problems
Alexander Goldenshluger, Yaakov Malinovsky, Assaf Zeevi
http://arxiv.org/abs/1901.04183v2
• [math.PR]New particle representations for ergodic McKean-Vlasov SDEs
H. AlRachid, Mireille Bossy, Cristiano Ricci, Lukasz Szpruch
http://arxiv.org/abs/1901.05507v1
• [math.ST]Model-Free Tests for Series Correlation in Multivariate Linear Regression
Yanqing Yin
http://arxiv.org/abs/1901.05595v1
• [math.ST]Nonparametric estimation for fractional diffusion processes with random effects
M. El Omari, H. El Maroufy, C. Fuchs
http://arxiv.org/abs/1901.05547v1
• [math.ST]Optimal cleaning for singular values of cross-covariance matrices
Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters
http://arxiv.org/abs/1901.05543v1
• [math.ST]Peak-over-Threshold Estimators for Spectral Tail Processes: Random vs Deterministic Thresholds
Holger Drees, Miran Knezevic
http://arxiv.org/abs/1901.05501v1
• [math.ST]Strong Asymptotic Properties of Kernel Smooth Density and Hazard Function Estimation for Right Censoring NA Data
Jianhua Shi, Haiqing Lin, Jiansen Xu, Chengen Li
http://arxiv.org/abs/1901.05764v1
• [quant-ph]Bipartite Quantum Interactions: Entangling and Information Processing Abilities
Siddhartha Das
http://arxiv.org/abs/1901.05895v1
• [stat.AP]Application of Stochastic and Deterministic Techniques for Uncertainty Quantification and Sensitivity Analysis of Energy Systems
Majdi I. Radaideh, Mohammad I. Radaideh
http://arxiv.org/abs/1901.05566v1
• [stat.AP]Prediction of the 2019 IHF World Men's Handball Championship - An underdispersed sparse count data regression model
Andreas Groll, Jonas Heiner, Gunther Schauberger, Jörn Uhrmeister
http://arxiv.org/abs/1901.05722v1
• [stat.ME]-sample omnibus non-proportional hazards tests based on right-censored data
Malka Gorfine, Matan Schlesinger, Li Hsu
http://arxiv.org/abs/1901.05739v1
• [stat.ME]Score-based Tests for Explaining Upper-Level Heterogeneity in Linear Mixed Models
Ting Wang, Edgar C. Merkle, Joaquin A. Anguera, Brandon M. Turner
http://arxiv.org/abs/1901.05796v1
• [stat.ML]A Random Walk Approach to First-Order Stochastic Convex Optimization
Sattar Vakili, Qing Zhao
http://arxiv.org/abs/1901.05947v1
