cond-mat.dis-nn - 无序系统与神经网络
cond-mat.mtrl-sci - 材料科学
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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
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
nlin.CD - 混沌动力学
physics.data-an - 数据分析、 统计和概率
physics.soc-ph - 物理学与社会
q-bio.BM - 生物分子
q-bio.QM - 定量方法
q-fin.ST - 统计金融学
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
• [cond-mat.dis-nn]Deep autoregressive models for the efficient variational simulation of many-body quantum systems
• [cond-mat.mtrl-sci]Paradigm shift in electron-based crystallography via machine learning
• [cs.AI]Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability
• [cs.AI]Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?
• [cs.AI]EvalAI: Towards Better Evaluation Systems for AI Agents
• [cs.AI]Learning Ontologies with Epistemic Reasoning: The EL Case
• [cs.AI]Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times
• [cs.AI]The Omniglot Challenge: A 3-Year Progress Report
• [cs.AI]Toward A Neuro-inspired Creative Decoder
• [cs.CL]Insertion Transformer: Flexible Sequence Generation via Insertion Operations
• [cs.CL]Multilingual Neural Machine Translation With Soft Decoupled Encoding
• [cs.CL]Neural embeddings for metaphor detection in a corpus of Greek texts
• [cs.CL]Word embeddings for idiolect identification
• [cs.CR]Energy-recycling Blockchain with Proof-of-Deep-Learning
• [cs.CR]Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study
• [cs.CR]Mind the Mining
• [cs.CV]3D Hand Shape and Pose from Images in the Wild
• [cs.CV]A Generative 3D Facial Model by Adversarial Training
• [cs.CV]A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene
• [cs.CV]A Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition System
• [cs.CV]Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"
• [cs.CV]Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
• [cs.CV]Architecture Compression
• [cs.CV]Color Image and Multispectral Image Denoising Using Block Diagonal Representation
• [cs.CV]Context-Aware Visual Compatibility Prediction
• [cs.CV]Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition
• [cs.CV]Deep Learning Methods for Event Verification and Image Repurposing Detection
• [cs.CV]Deep learning and face recognition: the state of the art
• [cs.CV]Depth-Map Generation using Pixel Matching in Stereoscopic Pair of Images
• [cs.CV]Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
• [cs.CV]GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
• [cs.CV]MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation
• [cs.CV]MOTS: Multi-Object Tracking and Segmentation
• [cs.CV]MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
• [cs.CV]NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
• [cs.CV]Peeking into the Future: Predicting Future Person Activities and Locations in Videos
• [cs.CV]Photorealistic Image Synthesis for Object Instance Detection
• [cs.CV]Pornographic Image Recognition via Weighted Multiple Instance Learning
• [cs.CV]Region based Ensemble Learning Network for Fine-grained Classification
• [cs.CV]Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild
• [cs.CV]Robust statistics and no-reference image quality assessment in Curvelet domain
• [cs.CV]S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition
• [cs.CV]Semantic Hierarchical Priors for Intrinsic Image Decomposition
• [cs.CV]Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
• [cs.CV]Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
• [cs.CV]Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods
• [cs.CV]Towards Segmenting Everything That Moves
• [cs.CV]UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers
• [cs.CV]Unpaired Image-to-Image Translation with Domain Supervision
• [cs.CV]Visual SLAM: Why Bundle Adjust?
• [cs.CV]Vulnerable road user detection: state-of-the-art and open challenges
• [cs.CV]When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks
• [cs.CV]Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
• [cs.CY]Discrimination in the Age of Algorithms
• [cs.CY]Safe Artificial General Intelligence via Distributed Ledger Technology
• [cs.DB]A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials
• [cs.DC]Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation
• [cs.DC]Cloud Futurology
• [cs.DC]Consistency models in distributed systems: A survey on definitions, disciplines, challenges and applications
• [cs.DC]Efficient Randomized Test-And-Set Implementations
• [cs.DC]PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
• [cs.DC]Performance Modeling of Microservice Platforms Considering the Dynamics of the underlying Cloud Infrastructure
• [cs.DC]Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure
• [cs.DC]Verifiable Smart Contract Portability
• [cs.DS]Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent
• [cs.DS]Scalable Fair Clustering
• [cs.GT]A Game of Drones: Cyber-Physical Security of Time-Critical UAV Applications with Cumulative Prospect Theory Perceptions and Valuations
• [cs.GT]Learning Best Response Strategies for Agents in Ad Exchanges
• [cs.HC]Human Computer Interaction Design for Mobile Devices Based on a Smart Healthcare Architecture
• [cs.IR]A Network-centric Framework for Auditing Recommendation Systems
• [cs.IR]A new simple and effective measure for bag-of-word inter-document similarity measurement
• [cs.IR]Machine learning and chord based feature engineering for genre prediction in popular Brazilian music
• [cs.IR]Model-Based Reinforcement Learning for Whole-Chain Recommendations
• [cs.IT]Attaining Fairness in Communication for Omniscience
• [cs.IT]Binary Message Passing Decoding of Product-like Codes
• [cs.IT]Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack
• [cs.IT]Direct Data Detection of OFDM Signals Over Wireless Channels
• [cs.IT]Guessing random additive noise decoding with soft detection symbol reliability information (SGRAND)
• [cs.IT]Investigations on Increased Data rate Differential Space-Time Block Codes for Single Carrier Wireless Systems
• [cs.IT]Joint State Sensing and Communication over Memoryless Multiple Access Channels
• [cs.IT]Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios
• [cs.IT]Maximum Likelihood Detection in a Four-Dimensional Stokes-Space Receiver
• [cs.IT]Multiple Access in the Delay-Doppler Domain using OTFS modulation
• [cs.IT]New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds
• [cs.IT]On the Performance Gain of NOMA over OMA in Uplink Single-cell Systems
• [cs.IT]Sampling for Remote Estimation through Queues: Age of Information and Beyond
• [cs.IT]Skew-Polynomial Rings and Skew-Cyclic Codes
• [cs.IT]Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds
• [cs.IT]Universal optimal configurations for the -frame potentials
• cs.LG-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
• [cs.LG]A Bandit Framework for Optimal Selection of Reinforcement Learning Agents
• [cs.LG]A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering
• [cs.LG]A simple and efficient architecture for trainable activation functions
• [cs.LG]Adversarially Trained Model Compression: When Robustness Meets Efficiency
• [cs.LG]An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer
• [cs.LG]An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms
• [cs.LG]Assessing the Local Interpretability of Machine Learning Models
• [cs.LG]Biadversarial Variational Autoencoder
• [cs.LG]Contextual Recurrent Neural Networks
• [cs.LG]Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
• [cs.LG]Deep Hashing using Entropy Regularised Product Quantisation Network
• [cs.LG]Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification
• [cs.LG]Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
• [cs.LG]Differential Similarity in Higher Dimensional Spaces: Theory and Applications
• [cs.LG]Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement
• [cs.LG]Diverse Exploration via Conjugate Policies for Policy Gradient Methods
• [cs.LG]ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"
• [cs.LG]Error Analysis on Graph Laplacian Regularized Estimator
• [cs.LG]FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
• [cs.LG]Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks
• [cs.LG]Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
• [cs.LG]Global Collaboration through Local Interaction in Competitive Learning
• [cs.LG]Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization
• [cs.LG]Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving
• [cs.LG]Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
• [cs.LG]Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher
• [cs.LG]Improving Generalization and Stability of Generative Adversarial Networks
• [cs.LG]Interaction-Transformation Evolutionary Algorithm for Symbolic Regression
• [cs.LG]Iterative Least Trimmed Squares for Mixed Linear Regression
• [cs.LG]KTBoost: Combined Kernel and Tree Boosting
• [cs.LG]Latent Space Reinforcement Learning for Steering Angle Prediction
• [cs.LG]Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
• [cs.LG]Manifold Optimisation Assisted Gaussian Variational Approximation
• [cs.LG]Multi-Domain Translation by Learning Uncoupled Autoencoders
• [cs.LG]Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
• [cs.LG]Passing Tests without Memorizing: Two Models for Fooling Discriminators
• [cs.LG]Path Capsule Networks
• [cs.LG]Policy Learning for Fairness in Ranking
• [cs.LG]Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications
• [cs.LG]Pure Exploration with Multiple Correct Answers
• [cs.LG]Semantic Label Reduction Techniques for Autonomous Driving
• [cs.LG]Space lower bounds for linear prediction
• [cs.LG]Task2Vec: Task Embedding for Meta-Learning
• [cs.LG]The StarCraft Multi-Agent Challenge
• [cs.LG]Understanding over-parameterized deep networks by geometrization
• [cs.LG]Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
• [cs.LG]Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
• [cs.MM]Towards an All-Purpose Content-Based Multimedia Information Retrieval System
• [cs.NE]Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels
• [cs.NE]Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
• [cs.NI]Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks
• [cs.RO]A Quasi-static Model and Simulation Approach for Pushing, Grasping, and Jamming
• [cs.RO]Active Area Coverage from Equilibrium
• [cs.RO]Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton
• [cs.RO]Design, Mechanical Simulation and Implementation of a New Six- Legged Robot
• [cs.RO]HE-SLAM: a Stereo SLAM System Based on Histogram Equalization and ORB Features
• [cs.RO]Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma
• [cs.RO]Optimization of dynamic mobile robot path planning based on evolutionary methods
• [cs.RO]Reactive Control Meets Runtime Verification: A Case Study of Navigation
• [cs.RO]Tool Macgyvering: Tool Construction Using Geometric Reasoning
• [cs.SD]Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking
• [cs.SI]A Reputation System for Marketplaces - Viability Assessment
• [cs.SI]Data-driven unsupervised clustering of online learner behaviour
• [eess.IV]An Algorithm Unrolling Approach to Deep Blind Image Deblurring
• [eess.IV]Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
• [eess.IV]Lumen boundary detection using neutrosophic c-means in IVOCT images
• [eess.SP]Cell-free Massive MIMO for UAV Communications
• [eess.SP]Optimal Bit Allocation Variable-Resolution ADC for Massive MIMO
• [eess.SP]Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
• [math.DS]Reconstructing dynamical networks via feature ranking
• [math.OC]Acceleration via Symplectic Discretization of High-Resolution Differential Equations
• [math.OC]An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity
• [math.OC]Deducing Kurdyka-Łojasiewicz exponent via inf-projection
• [math.PR]A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm
• [math.PR]High-dimensional central limit theorems for homogeneous sums
• [math.ST]A goodness-of-fit test for elliptical distributions with diagnostic capabilities
• [math.ST]Asymptotic normality of the time-domain generalized least squares estimator for linear regression models
• [math.ST]Distance-based and RKHS-based Dependence Metrics in High Dimension
• [math.ST]Estimating the Rate Constant from Biosensor Data via an Adaptive Variational Bayesian Approach
• [math.ST]Nonparametric Density Estimation under Besov IPM Losses
• [math.ST]Quickest Change Detection in the Presence of a Nuisance Change
• [math.ST]Scattering Statistics of Generalized Spatial Poisson Point Processes
• [math.ST]Strict Stationarity Testing and GLAD Estimation of Double Autoregressive Models
• [math.ST]The Riemannian barycentre as a proxy for global optimisation
• [math.ST]The empirical process of residuals from an inverse regression
• [nlin.CD]Simulating extrapolated dynamics with parameterization networks
• [physics.data-an]Optimal Latent Representations: Distilling Mutual Information into Principal Pairs
• [physics.soc-ph]Fast consensus clustering in complex networks
• [physics.soc-ph]Multi-choice opinion dynamics model based on Latane theory
• [physics.soc-ph]Stratified communities in complex business networks
• [q-bio.BM]Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning
• [q-bio.QM]Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition
• [q-fin.ST]Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series
• [quant-ph]Quantum Measurement as Marginalization and Nested Quantum Systems
• [stat.AP]Automatic dimensionality selection for principal component analysis models with the ignorance score
• [stat.AP]Hawkes processes for credit indices time series analysis: How random are trades arrival times?
• [stat.AP]Validating Gravity-Based Market Share Models Using Large-Scale Transactional Data
• [stat.ME]A Bayesian Approach to Joint Estimation of Multiple Graphical Models
• [stat.ME]BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
• [stat.ME]Bayesian Model Selection with Graph Structured Sparsity
• [stat.ME]Equivalence of regression curves sharing common parameters
• [stat.ME]Nearest Neighbor Classifier based on Generalized Inter-point Distances for HDLSS Data
• [stat.ME]Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework
• [stat.ME]Penalized linear regression with high-dimensional pairwise screening
• [stat.ML]A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
• [stat.ML]A stochastic version of Stein Variational Gradient Descent for efficient sampling
• [stat.ML]Censored Quantile Regression Forests
• [stat.ML]Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification
• [stat.ML]Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits
• [stat.ML]Feature Selection for multi-labeled variables via Dependency Maximization
• [stat.ML]Invariant-equivariant representation learning for multi-class data
• [stat.ML]Low-pass filtering as Bayesian inference
• [stat.ML]Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding
·····································
• [cond-mat.dis-nn]Deep autoregressive models for the efficient variational simulation of many-body quantum systems
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
http://arxiv.org/abs/1902.04057v1
• [cond-mat.mtrl-sci]Paradigm shift in electron-based crystallography via machine learning
Kevin Kaufmann, Chaoyi Zhu, Alexander S. Rosengarten, Daniel Maryanovsky, Tyler J. Harrington, Eduardo Marin, Kenneth S. Vecchio
http://arxiv.org/abs/1902.03682v1
• [cs.AI]Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability
Brian Lubars, Chenhao Tan
http://arxiv.org/abs/1902.03245v1
• [cs.AI]Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?
Russell Jeter, Christopher Josef, Supreeth Shashikumar, Shamim Nemati
http://arxiv.org/abs/1902.03271v1
• [cs.AI]EvalAI: Towards Better Evaluation Systems for AI Agents
Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet Singh, Akash Jain, Shiv Baran Singh, Stefan Lee, Dhruv Batra
http://arxiv.org/abs/1902.03570v1
• [cs.AI]Learning Ontologies with Epistemic Reasoning: The EL Case
Ana Ozaki, Nicolas Troquard
http://arxiv.org/abs/1902.03273v1
• [cs.AI]Progressive Focus Search for the Static and Stochastic VRPTW with both Random Customers and Reveal Times
Michael Saint-Guillain, Christine Solnon, Yves Deville
http://arxiv.org/abs/1902.03930v1
• [cs.AI]The Omniglot Challenge: A 3-Year Progress Report
Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum
http://arxiv.org/abs/1902.03477v1
• [cs.AI]Toward A Neuro-inspired Creative Decoder
Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn
http://arxiv.org/abs/1902.02399v2
• [cs.CL]Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit
http://arxiv.org/abs/1902.03249v1
• [cs.CL]Multilingual Neural Machine Translation With Soft Decoupled Encoding
Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig
http://arxiv.org/abs/1902.03499v1
• [cs.CL]Neural embeddings for metaphor detection in a corpus of Greek texts
Eirini Florou, Konstantinos Perifanos, Dionysis Goutsos
http://arxiv.org/abs/1902.03659v1
• [cs.CL]Word embeddings for idiolect identification
Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos
http://arxiv.org/abs/1902.03658v1
• [cs.CR]Energy-recycling Blockchain with Proof-of-Deep-Learning
Changhao Chenli, Boyang Li, Yiyu Shi, Taeho Jung
http://arxiv.org/abs/1902.03912v1
• [cs.CR]Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study
Jason Zhang
http://arxiv.org/abs/1902.03639v1
• [cs.CR]Mind the Mining
Guy Goren, Alexander Spiegelman
http://arxiv.org/abs/1902.03899v1
• [cs.CV]3D Hand Shape and Pose from Images in the Wild
Adnane Boukhayma, Rodrigo de Bem, Philip H. S. Torr
http://arxiv.org/abs/1902.03451v1
• [cs.CV]A Generative 3D Facial Model by Adversarial Training
Victoria Fernandez Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer
http://arxiv.org/abs/1902.03619v1
• [cs.CV]A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene
Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li
http://arxiv.org/abs/1902.03791v1
• [cs.CV]A Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, John See, Huai-Qian Khor
http://arxiv.org/abs/1902.03634v1
• [cs.CV]Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"
Claudio Ferrari, Stefano Berretti, Alberto Del Bimbo
http://arxiv.org/abs/1902.03804v1
• [cs.CV]Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network
Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu
http://arxiv.org/abs/1902.03585v1
• [cs.CV]Architecture Compression
Anubhav Ashok
http://arxiv.org/abs/1902.03326v1
• [cs.CV]Color Image and Multispectral Image Denoising Using Block Diagonal Representation
Zhaoming Kong, Xiaowei Yang
http://arxiv.org/abs/1902.03954v1
• [cs.CV]Context-Aware Visual Compatibility Prediction
Guillem Cucurull, Perouz Taslakian, David Vazquez
http://arxiv.org/abs/1902.03646v1
• [cs.CV]Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition
Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan
http://arxiv.org/abs/1902.03565v1
• [cs.CV]Deep Learning Methods for Event Verification and Image Repurposing Detection
M. Goebel, A. Flenner, L. Nataraj, B. S. Manjunath
http://arxiv.org/abs/1902.04038v1
• [cs.CV]Deep learning and face recognition: the state of the art
Stephen Balaban
http://arxiv.org/abs/1902.03524v1
• [cs.CV]Depth-Map Generation using Pixel Matching in Stereoscopic Pair of Images
Asra Aslam, Mohd. Samar Ansari
http://arxiv.org/abs/1902.03471v1
• [cs.CV]Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer, Partha Pratim Roy
http://arxiv.org/abs/1902.03514v1
• [cs.CV]GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus D. McDonald-Maier
http://arxiv.org/abs/1902.03817v1
• [cs.CV]MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation
Sanghyeon Na, Seungjoo Yoo, Jaegul Choo
http://arxiv.org/abs/1902.03938v1
• [cs.CV]MOTS: Multi-Object Tracking and Segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
http://arxiv.org/abs/1902.03604v1
• [cs.CV]MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Nabil Ibtehaz, M. Sohel Rahman
http://arxiv.org/abs/1902.04049v1
• [cs.CV]NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Stefan Milz, Senthil Yogamani, Samir Rawashdeh
http://arxiv.org/abs/1902.03589v1
• [cs.CV]Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
http://arxiv.org/abs/1902.03748v1
• [cs.CV]Photorealistic Image Synthesis for Object Instance Detection
Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter
http://arxiv.org/abs/1902.03334v1
• [cs.CV]Pornographic Image Recognition via Weighted Multiple Instance Learning
Jin Xin, Wang Yuhui, Tan Xiaoyang
http://arxiv.org/abs/1902.03771v1
• [cs.CV]Region based Ensemble Learning Network for Fine-grained Classification
Weikuang Li, Tian Wang, Chuanyun Wang, Guangcun Shan, Mengyi Zhang, Hichem Snoussi
http://arxiv.org/abs/1902.03377v1
• [cs.CV]Registration-free Face-SSD: Single shot analysis of smiles, facial attributes, and affect in the wild
Youngkyoon Jang, Hatice Gunes, Ioannis Patras
http://arxiv.org/abs/1902.04042v1
• [cs.CV]Robust statistics and no-reference image quality assessment in Curvelet domain
Ramon Giostri Campos, Evandro Ottoni Teatini Salles
http://arxiv.org/abs/1902.03842v1
• [cs.CV]S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition
Hyungtae Lee, Sungmin Eum, Heesung Kwon
http://arxiv.org/abs/1902.04051v1
• [cs.CV]Semantic Hierarchical Priors for Intrinsic Image Decomposition
Saurabh Saini, P. J. Narayanan
http://arxiv.org/abs/1902.03830v1
• [cs.CV]Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
Marcin Kopaczka, Justus Schock, Dorit Merhof
http://arxiv.org/abs/1902.03459v1
• [cs.CV]Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Dhruv Batra, Devi Parikh
http://arxiv.org/abs/1902.03751v1
• [cs.CV]Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods
Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer
http://arxiv.org/abs/1902.03618v1
• [cs.CV]Towards Segmenting Everything That Moves
Achal Dave, Pavel Tokmakov, Deva Ramanan
http://arxiv.org/abs/1902.03715v1
• [cs.CV]UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers
Rafael Munoz-Salinas, Rafael Medina-Carnicer
http://arxiv.org/abs/1902.03729v1
• [cs.CV]Unpaired Image-to-Image Translation with Domain Supervision
Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen
http://arxiv.org/abs/1902.03782v1
• [cs.CV]Visual SLAM: Why Bundle Adjust?
Alvaro Parra Bustos, Tat-Jun Chin, Anders Eriksson, Ian Reid
http://arxiv.org/abs/1902.03747v1
• [cs.CV]Vulnerable road user detection: state-of-the-art and open challenges
Patrick Mannion
http://arxiv.org/abs/1902.03601v1
• [cs.CV]When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks
Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
http://arxiv.org/abs/1902.03380v1
• [cs.CV]Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Michal Uricar, Pavel Krizek, David Hurych, Ibrahim Sobh, Senthil Yogamani, Patrick Denny
http://arxiv.org/abs/1902.03442v1
• [cs.CY]Discrimination in the Age of Algorithms
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein
http://arxiv.org/abs/1902.03731v1
• [cs.CY]Safe Artificial General Intelligence via Distributed Ledger Technology
Kristen W. Carlson
http://arxiv.org/abs/1902.03689v1
• [cs.DB]A Blockchain Framework for Managing and Monitoring Data in Multi-Site Clinical Trials
Olivia Choudhury, Noor Fairoza, Issa Sylla, Amar Das
http://arxiv.org/abs/1902.03975v1
• [cs.DC]Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation
Peng Peng, Lei Zou, Runyu Guan
http://arxiv.org/abs/1902.03700v1
• [cs.DC]Cloud Futurology
Blesson Varghese, Philipp Leitner, Suprio Ray, Kyle Chard, Adam Barker, Yehia Elkhatib, Herry Herry, Cheol-Ho Hong, Jeremy Singer, Fung Po Tso, Eiko Yoneki, Mohamed-Faten Zhani
http://arxiv.org/abs/1902.03656v1
• [cs.DC]Consistency models in distributed systems: A survey on definitions, disciplines, challenges and applications
Hesam Nejati Sharif Aldin, Hossein Deldari, Mohammad Hossein Moattar, Mostafa Razavi Ghods
http://arxiv.org/abs/1902.03305v1
• [cs.DC]Efficient Randomized Test-And-Set Implementations
George Giakkoupis, Philipp Woelfel
http://arxiv.org/abs/1902.04002v1
• [cs.DC]PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin Barker
http://arxiv.org/abs/1902.03317v1
• [cs.DC]Performance Modeling of Microservice Platforms Considering the Dynamics of the underlying Cloud Infrastructure
Hamzeh Khazaei, Cornel Barna, Marin Litoiu
http://arxiv.org/abs/1902.03387v1
• [cs.DC]Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure
Shuai Zhang, Wenxi Zeng, I-Ling Yen, Farokh B. Bastani
http://arxiv.org/abs/1902.03533v1
• [cs.DC]Verifiable Smart Contract Portability
Martin Westerkamp
http://arxiv.org/abs/1902.03868v1
• [cs.DS]Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent
Dmitrii Avdiukhin, Sergey Pupyrev, Grigory Yaroslavtsev
http://arxiv.org/abs/1902.03522v1
• [cs.DS]Scalable Fair Clustering
Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner
http://arxiv.org/abs/1902.03519v1
• [cs.GT]A Game of Drones: Cyber-Physical Security of Time-Critical UAV Applications with Cumulative Prospect Theory Perceptions and Valuations
Anibal Sanjab, Walid Saad, Tamer Başar
http://arxiv.org/abs/1902.03506v1
• [cs.GT]Learning Best Response Strategies for Agents in Ad Exchanges
Stavros Gerakaris, Subramanian Ramamoorthy
http://arxiv.org/abs/1902.03588v1
• [cs.HC]Human Computer Interaction Design for Mobile Devices Based on a Smart Healthcare Architecture
Pu Liu, Sidney Fels, Nicholas West, Matthias Görges
http://arxiv.org/abs/1902.03541v1
• [cs.IR]A Network-centric Framework for Auditing Recommendation Systems
Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh
http://arxiv.org/abs/1902.02710v2
• [cs.IR]A new simple and effective measure for bag-of-word inter-document similarity measurement
Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari
http://arxiv.org/abs/1902.03402v1
• [cs.IR]Machine learning and chord based feature engineering for genre prediction in popular Brazilian music
Bruna D. Wundervald, Walmes M. Zeviani
http://arxiv.org/abs/1902.03283v1
• [cs.IR]Model-Based Reinforcement Learning for Whole-Chain Recommendations
Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang
http://arxiv.org/abs/1902.03987v1
• [cs.IT]Attaining Fairness in Communication for Omniscience
Ni Ding, Parastoo Sadeghi, David Smith, Thierry Rakotoarivelo
http://arxiv.org/abs/1902.03706v1
• [cs.IT]Binary Message Passing Decoding of Product-like Codes
Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva
http://arxiv.org/abs/1902.03575v1
• [cs.IT]Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack
Ruohan Cao, Ruohan Cao, Tan F. Wong, Hui Gao, Dongqing Wang, Yueming Lu
http://arxiv.org/abs/1902.03909v1
• [cs.IT]Direct Data Detection of OFDM Signals Over Wireless Channels
Anas Saci, Arafat Al-Dweik, Abdallah Shami
http://arxiv.org/abs/1902.03382v1
• [cs.IT]Guessing random additive noise decoding with soft detection symbol reliability information (SGRAND)
Ken R. Duffy, Muriel Médard
http://arxiv.org/abs/1902.03796v1
• [cs.IT]Investigations on Increased Data rate Differential Space-Time Block Codes for Single Carrier Wireless Systems
Rania Morsi
http://arxiv.org/abs/1902.03906v1
• [cs.IT]Joint State Sensing and Communication over Memoryless Multiple Access Channels
Mari Kobayashi, Hassan Hamad, Gerhard Kramer, Giuseppe Caire
http://arxiv.org/abs/1902.03775v1
• [cs.IT]Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios
Shuqing Chen, Michelle Effros, Victoria Kostina
http://arxiv.org/abs/1902.03366v1
• [cs.IT]Maximum Likelihood Detection in a Four-Dimensional Stokes-Space Receiver
Amir Tasbihi, Frank R. Kschischang
http://arxiv.org/abs/1902.03304v1
• [cs.IT]Multiple Access in the Delay-Doppler Domain using OTFS modulation
G. D. Surabhi, Rose Mary Augustine, A. Chockalingam
http://arxiv.org/abs/1902.03415v1
• [cs.IT]New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds
Mark Iwen, Eric Lybrand, Aaron Nelson, Rayan Saab
http://arxiv.org/abs/1902.03726v1
• [cs.IT]On the Performance Gain of NOMA over OMA in Uplink Single-cell Systems
Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/1902.03535v1
• [cs.IT]Sampling for Remote Estimation through Queues: Age of Information and Beyond
Tasmeen Zaman Ornee, Yin Sun
http://arxiv.org/abs/1902.03552v1
• [cs.IT]Skew-Polynomial Rings and Skew-Cyclic Codes
Heide Gluesing-Luerssen
http://arxiv.org/abs/1902.03516v1
• [cs.IT]Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds
Mahdi Boloursaz Mashhadi, Saber Malekmohammadi, Farokh Marvasti
http://arxiv.org/abs/1902.03425v1
• [cs.IT]Universal optimal configurations for the -frame potentials
Xuemei Chen, Victor Gonzales, Eric Goodman, Shujie Kang, Kasso Okoudjou
http://arxiv.org/abs/1902.03505v1
• [cs.LG](q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen
http://arxiv.org/abs/1902.03642v1
• [cs.LG]A Bandit Framework for Optimal Selection of Reinforcement Learning Agents
Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann
http://arxiv.org/abs/1902.03657v1
• [cs.LG]A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
http://arxiv.org/abs/1902.03833v1
• [cs.LG]A simple and efficient architecture for trainable activation functions
Andrea Apicella, Francesco Isgrò, Roberto Prevete
http://arxiv.org/abs/1902.03306v1
• [cs.LG]Adversarially Trained Model Compression: When Robustness Meets Efficiency
Shupeng Gui, Haotao Wang, Chen Yu, Haichuan Yang, Zhangyang Wang, Ji Liu
http://arxiv.org/abs/1902.03538v1
• [cs.LG]An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer
Elliott Zaresky-Williams
http://arxiv.org/abs/1902.03638v1
• [cs.LG]An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar
http://arxiv.org/abs/1902.03806v1
• [cs.LG]Assessing the Local Interpretability of Machine Learning Models
Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack
http://arxiv.org/abs/1902.03501v1
• [cs.LG]Biadversarial Variational Autoencoder
Arnaud Fickinger
http://arxiv.org/abs/1902.03517v1
• [cs.LG]Contextual Recurrent Neural Networks
Sam Wenke, Jim Fleming
http://arxiv.org/abs/1902.03455v1
• [cs.LG]Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson
http://arxiv.org/abs/1902.03932v1
• [cs.LG]Deep Hashing using Entropy Regularised Product Quantisation Network
Jo Schlemper, Jose Caballero, Andy Aitken, Joost van Amersfoort
http://arxiv.org/abs/1902.03876v1
• [cs.LG]Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification
Blaž Škrlj, Jan Kralj, Janez Konc, Marko Robnik-Šikonja, Nada Lavrač
http://arxiv.org/abs/1902.03964v1
• [cs.LG]Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi
http://arxiv.org/abs/1902.03865v1
• [cs.LG]Differential Similarity in Higher Dimensional Spaces: Theory and Applications
L. Thorne McCarty
http://arxiv.org/abs/1902.03667v1
• [cs.LG]Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement
Mostafa Razavi Ghods, Mohammad Hossein Moattar, Yahya Forghani
http://arxiv.org/abs/1902.03453v1
• [cs.LG]Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, Xiangrong Tong
http://arxiv.org/abs/1902.03633v1
• [cs.LG]ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"
Erich Schubert, Arthur Zimek
http://arxiv.org/abs/1902.03616v1
• [cs.LG]Error Analysis on Graph Laplacian Regularized Estimator
Kaige Yang, Xiaowen Dong, Laura Toni
http://arxiv.org/abs/1902.03720v1
• [cs.LG]FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Yingzhen Yang, Nebojsa Jojic, Jun Huan
http://arxiv.org/abs/1902.03264v1
• [cs.LG]Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks
Yue-he Zhu, Ya-zhong Luo
http://arxiv.org/abs/1902.03738v1
• [cs.LG]Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine
http://arxiv.org/abs/1902.03701v1
• [cs.LG]Global Collaboration through Local Interaction in Competitive Learning
Abbas Siddiqui, Dionysios Georgiadis
http://arxiv.org/abs/1902.03856v1
• [cs.LG]Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization
Bin Liu
http://arxiv.org/abs/1902.03740v1
• [cs.LG]Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving
Jose Solomon, Francois Charette
http://arxiv.org/abs/1902.03466v1
• [cs.LG]Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
Radin Hamidi Rad, Maryam Amir Haeri
http://arxiv.org/abs/1902.03609v1
• [cs.LG]Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh
http://arxiv.org/abs/1902.03393v1
• [cs.LG]Improving Generalization and Stability of Generative Adversarial Networks
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
http://arxiv.org/abs/1902.03984v1
• [cs.LG]Interaction-Transformation Evolutionary Algorithm for Symbolic Regression
Fabricio Olivetti de Franca, Guilherme Seidyo Imai Aldeia
http://arxiv.org/abs/1902.03983v1
• [cs.LG]Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen, Sujay Sanghavi
http://arxiv.org/abs/1902.03653v1
• [cs.LG]KTBoost: Combined Kernel and Tree Boosting
Fabio Sigrist
http://arxiv.org/abs/1902.03999v1
• [cs.LG]Latent Space Reinforcement Learning for Steering Angle Prediction
Qadeer Khan, Torsten Schön, Patrick Wenzel
http://arxiv.org/abs/1902.03765v1
• [cs.LG]Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
http://arxiv.org/abs/1902.03680v1
• [cs.LG]Manifold Optimisation Assisted Gaussian Variational Approximation
Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
http://arxiv.org/abs/1902.03718v1
• [cs.LG]Multi-Domain Translation by Learning Uncoupled Autoencoders
Karren D. Yang, Caroline Uhler
http://arxiv.org/abs/1902.03515v1
• [cs.LG]Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika, Anders Martinsson, Angelika Steger
http://arxiv.org/abs/1902.03993v1
• [cs.LG]Passing Tests without Memorizing: Two Models for Fooling Discriminators
Olivier Bousquet, Roi Livni, Shay Moran
http://arxiv.org/abs/1902.03468v1
• [cs.LG]Path Capsule Networks
Mohammed Amer, Tomás Maul
http://arxiv.org/abs/1902.03760v1
• [cs.LG]Policy Learning for Fairness in Ranking
Ashudeep Singh, Thorsten Joachims
http://arxiv.org/abs/1902.04056v1
• [cs.LG]Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications
Vivek Kumar, Brojo Kumar Mishra, Manuel Mazzara, Abhishek Verma
http://arxiv.org/abs/1902.03825v1
• [cs.LG]Pure Exploration with Multiple Correct Answers
Rémy Degenne, Wouter M. Koolen
http://arxiv.org/abs/1902.03475v1
• [cs.LG]Semantic Label Reduction Techniques for Autonomous Driving
Qadeer Khan, Torsten Schön, Patrick Wenzel
http://arxiv.org/abs/1902.03777v1
• [cs.LG]Space lower bounds for linear prediction
Yuval Dagan, Gil Kur, Ohad Shamir
http://arxiv.org/abs/1902.03498v1
• [cs.LG]Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano Soatto, Pietro Perona
http://arxiv.org/abs/1902.03545v1
• [cs.LG]The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob Foerster, Shimon Whiteson
http://arxiv.org/abs/1902.04043v1
• [cs.LG]Understanding over-parameterized deep networks by geometrization
Xiao Dong, Ling Zhou
http://arxiv.org/abs/1902.03793v1
• [cs.LG]Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis
Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Kilian M. Pohl
http://arxiv.org/abs/1902.03717v1
• [cs.LG]Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
http://arxiv.org/abs/1902.03444v1
• [cs.MM]Towards an All-Purpose Content-Based Multimedia Information Retrieval System
Ralph Gasser, Luca Rossetto, Heiko Schuldt
http://arxiv.org/abs/1902.03878v1
• [cs.NE]Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein
http://arxiv.org/abs/1902.03419v1
• [cs.NE]Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell
http://arxiv.org/abs/1902.02390v2
• [cs.NI]Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks
Sheng Zhou, Guangchao Wang, Shan Zhang, Zhisheng Niu, Xuemin, Shen
http://arxiv.org/abs/1902.03774v1
• [cs.RO]A Quasi-static Model and Simulation Approach for Pushing, Grasping, and Jamming
Mathew Halm, Michael Posa
http://arxiv.org/abs/1902.03487v1
• [cs.RO]Active Area Coverage from Equilibrium
Ian Abraham, Ahalya Prabhakar, Todd D. Murphey
http://arxiv.org/abs/1902.03320v1
• [cs.RO]Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton
Junlin Wang, Xiao Li, Tzu-Hao Huang, Shuangyue Yu, Yanjun Li, Tianyao Chen, Alessandra Carriero, Mooyeon Oh-Park, Hao Su, Member, IEEE*
http://arxiv.org/abs/1902.03966v1
• [cs.RO]Design, Mechanical Simulation and Implementation of a New Six- Legged Robot
Ahmad Ghanbari, Mahdieh Babaiasl, Ako Veisinejad
http://arxiv.org/abs/1902.03547v1
• [cs.RO]HE-SLAM: a Stereo SLAM System Based on Histogram Equalization and ORB Features
Yinghong Fang, Guangcun Shan, Xin Li, Wenliang Liu, Tian Wang, Hichem Snoussi
http://arxiv.org/abs/1902.03365v1
• [cs.RO]Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma
Marcus Pereira, Ziyi Wang, Evangelos A. Theodorou
http://arxiv.org/abs/1902.03986v1
• [cs.RO]Optimization of dynamic mobile robot path planning based on evolutionary methods
Masoud Fetanat, Sajjad Haghzad, Saeed Bagheri Shouraki
http://arxiv.org/abs/1902.03390v1
• [cs.RO]Reactive Control Meets Runtime Verification: A Case Study of Navigation
Dogan Ulus, Calin Belta
http://arxiv.org/abs/1902.04024v1
• [cs.RO]Tool Macgyvering: Tool Construction Using Geometric Reasoning
Lakshmi Nair, Jonathan Balloch, Sonia Chernova
http://arxiv.org/abs/1902.03666v1
• [cs.SD]Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking
Hiroki Tamaru, Yuki Saito, Shinnosuke Takamichi, Tomoki Koriyama, Hiroshi Saruwatari
http://arxiv.org/abs/1902.03389v1
• [cs.SI]A Reputation System for Marketplaces - Viability Assessment
Anton Kolonin, Ben Goertzel, Cassio Pennachin, Deborah Duong, Marco Argentieri, Nejc Znidar
http://arxiv.org/abs/1902.03857v1
• [cs.SI]Data-driven unsupervised clustering of online learner behaviour
Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona
http://arxiv.org/abs/1902.04047v1
• [eess.IV]An Algorithm Unrolling Approach to Deep Blind Image Deblurring
Yuelong Li, Mohammad Tofighi, Junyi Geng, Vishal Monga, Yonina C. Eldar
http://arxiv.org/abs/1902.03493v1
• [eess.IV]Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Xingzhi Yue, Neofytos Dimitriou, Ognjen Arandjelovic
http://arxiv.org/abs/1902.03582v1
• [eess.IV]Lumen boundary detection using neutrosophic c-means in IVOCT images
Mohammad Habibi, Ahmad Ayatollahi, Ahmad Ayatollahi, Ali Kermani
http://arxiv.org/abs/1902.03489v1
• [eess.SP]Cell-free Massive MIMO for UAV Communications
Carmen D'Andrea, Adrian Garcia-Rodriguez, Giovanni Geraci, Lorenzo Galati Giordano, Stefano Buzzi
http://arxiv.org/abs/1902.03578v1
• [eess.SP]Optimal Bit Allocation Variable-Resolution ADC for Massive MIMO
I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi
http://arxiv.org/abs/1902.03375v1
• [eess.SP]Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
Oded Bialer, Noa Garnett, Tom Tirer
http://arxiv.org/abs/1902.03569v1
• [math.DS]Reconstructing dynamical networks via feature ranking
Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski, Bernard Zenko
http://arxiv.org/abs/1902.03896v1
• [math.OC]Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Bin Shi, Simon S. Du, Weijie J. Su, Michael I. Jordan
http://arxiv.org/abs/1902.03694v1
• [math.OC]An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity
Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
http://arxiv.org/abs/1902.03373v1
• [math.OC]Deducing Kurdyka-Łojasiewicz exponent via inf-projection
Peiran Yu, Guoyin Li, Ting Kei Pong
http://arxiv.org/abs/1902.03635v1
• [math.PR]A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm
Chi Jin, Praneeth Netrapalli, Rong Ge, Sham M. Kakade, Michael I. Jordan
http://arxiv.org/abs/1902.03736v1
• [math.PR]High-dimensional central limit theorems for homogeneous sums
Yuta Koike
http://arxiv.org/abs/1902.03809v1
• [math.ST]A goodness-of-fit test for elliptical distributions with diagnostic capabilities
Gilles R. Ducharme, Pierre Lafaye de Micheaux
http://arxiv.org/abs/1902.03622v1
• [math.ST]Asymptotic normality of the time-domain generalized least squares estimator for linear regression models
Hien D Nguyen
http://arxiv.org/abs/1902.03347v1
• [math.ST]Distance-based and RKHS-based Dependence Metrics in High Dimension
Changbo Zhu, Shun Yao, Xianyang Zhang, Xiaofeng Shao
http://arxiv.org/abs/1902.03291v1
• [math.ST]Estimating the Rate Constant from Biosensor Data via an Adaptive Variational Bayesian Approach
Y. Zhang, Z. Yao, P. Forssen, T. Fornstedt
http://arxiv.org/abs/1902.03795v1
• [math.ST]Nonparametric Density Estimation under Besov IPM Losses
Ananya Uppal, Shashank Singh, Barnaás Póczos
http://arxiv.org/abs/1902.03511v1
• [math.ST]Quickest Change Detection in the Presence of a Nuisance Change
Tze Siong Lau, Wee Peng Tay
http://arxiv.org/abs/1902.03460v1
• [math.ST]Scattering Statistics of Generalized Spatial Poisson Point Processes
Michael Perlmutter, Jieqian He, Matthew Hirn
http://arxiv.org/abs/1902.03537v1
• [math.ST]Strict Stationarity Testing and GLAD Estimation of Double Autoregressive Models
Shaojun Guo, Dong Li, Muyi Li
http://arxiv.org/abs/1902.03773v1
• [math.ST]The Riemannian barycentre as a proxy for global optimisation
Salem Said, Jonathan H. Manton
http://arxiv.org/abs/1902.03885v1
• [math.ST]The empirical process of residuals from an inverse regression
Tim Kutta, Nicolai Bissantz, Justin Chown, Holger Dette
http://arxiv.org/abs/1902.03418v1
• [nlin.CD]Simulating extrapolated dynamics with parameterization networks
James P. L. Tan
http://arxiv.org/abs/1902.03440v1
• [physics.data-an]Optimal Latent Representations: Distilling Mutual Information into Principal Pairs
Max Tegmark
http://arxiv.org/abs/1902.03364v1
• [physics.soc-ph]Fast consensus clustering in complex networks
Aditya Tandon, Aiiad Albeshri, Vijey Thayananthan, Wadee Alhalabi, Santo Fortunato
http://arxiv.org/abs/1902.04014v1
• [physics.soc-ph]Multi-choice opinion dynamics model based on Latane theory
Przemyslaw Bancerowski, Krzysztof Malarz
http://arxiv.org/abs/1902.03454v1
• [physics.soc-ph]Stratified communities in complex business networks
Roy Cerqueti, Gian Paolo Clemente, Rosanna Grassi
http://arxiv.org/abs/1902.03854v1
• [q-bio.BM]Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning
Chu Qin, Ying Tan, Shang Ying Chen, Xian Zeng, Xingxing Qi, Tian Jin, Huan Shi, Yiwei Wan, Yu Chen, Jingfeng Li, Weidong He, Yali Wang, Peng Zhang, Feng Zhu, Hongping Zhao, Yuyang Jiang, Yuzong Chen
http://arxiv.org/abs/1902.03429v1
• [q-bio.QM]Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition
Xiao-Hui Yang, Li Tian, Yun-Mei Chen, Li-Jun Yang, Shuang Xu, Wen-Ming Wu
http://arxiv.org/abs/1902.03510v1
• [q-fin.ST]Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series
Nick James, Roman Marchant, Richard Gerlach, Sally Cripps
http://arxiv.org/abs/1902.03350v1
• [quant-ph]Quantum Measurement as Marginalization and Nested Quantum Systems
Hans-Andrea Loeliger, Pascal O. Vontobel
http://arxiv.org/abs/1902.03607v1
• [stat.AP]Automatic dimensionality selection for principal component analysis models with the ignorance score
Stefania Russo, Guangyu Li, Kris Villez
http://arxiv.org/abs/1902.03293v1
• [stat.AP]Hawkes processes for credit indices time series analysis: How random are trades arrival times?
Achraf Bahamou, Maud Doumergue, Philippe Donnat
http://arxiv.org/abs/1902.03714v1
• [stat.AP]Validating Gravity-Based Market Share Models Using Large-Scale Transactional Data
Yoshihiko Suhara, Mohsen Bahrami, Burçin Bozkaya, Alex `Sandy' Pentland
http://arxiv.org/abs/1902.03488v1
• [stat.ME]A Bayesian Approach to Joint Estimation of Multiple Graphical Models
Peyman Jalali, Kshitij Khare, George Michailidis
http://arxiv.org/abs/1902.03651v1
• [stat.ME]BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
Min Zhou, Mingwei Dai, Yuan Yao, Jin Liu, Can Yang, Heng Peng
http://arxiv.org/abs/1902.03525v1
• [stat.ME]Bayesian Model Selection with Graph Structured Sparsity
Youngseok Kim, Chao Gao
http://arxiv.org/abs/1902.03316v1
• [stat.ME]Equivalence of regression curves sharing common parameters
Kathrin Möllenhoff, Frank Bretz, Holger Dette
http://arxiv.org/abs/1902.03456v1
• [stat.ME]Nearest Neighbor Classifier based on Generalized Inter-point Distances for HDLSS Data
Sarbojit Roy, Subhajit Dutta, Anil K. Ghosh, Soham Sarkar
http://arxiv.org/abs/1902.03295v1
• [stat.ME]Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework
Xiaoxiao Sun, Pang Du, Xiao Wang, Ping Ma
http://arxiv.org/abs/1902.03674v1
• [stat.ME]Penalized linear regression with high-dimensional pairwise screening
Siliang Gong, Kai Zhang, Yufeng Liu
http://arxiv.org/abs/1902.03308v1
• [stat.ML]A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime
Constantin Grigo, Phaedon-Stelios Koutsourelakis
http://arxiv.org/abs/1902.03968v1
• [stat.ML]A stochastic version of Stein Variational Gradient Descent for efficient sampling
Lei Li, Jian-Guo Liu, Zibu Liu, Jianfeng Lu
http://arxiv.org/abs/1902.03394v1
• [stat.ML]Censored Quantile Regression Forests
Alexander Hanbo Li, Jelena Bradic
http://arxiv.org/abs/1902.03327v1
• [stat.ML]Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification
Dmitry Babichev, Dmitrii Ostrovskii, Francis Bach
http://arxiv.org/abs/1902.03755v1
• [stat.ML]Exploiting Structure of Uncertainty for Efficient Combinatorial Semi-Bandits
Pierre Perrault, Vianney Perchet, Michal Valko
http://arxiv.org/abs/1902.03794v1
• [stat.ML]Feature Selection for multi-labeled variables via Dependency Maximization
Salimeh Yasaei Sekeh, Alfred O. Hero
http://arxiv.org/abs/1902.03544v1
• [stat.ML]Invariant-equivariant representation learning for multi-class data
Ilya Feige
http://arxiv.org/abs/1902.03251v1
• [stat.ML]Low-pass filtering as Bayesian inference
Cristobal Valenzuela, Felipe Tobar
http://arxiv.org/abs/1902.03427v1
• [stat.ML]Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding
Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
http://arxiv.org/abs/1902.03376v1
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