astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.stat-mech - 统计数学
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.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.SP - 信号处理
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.RA - 环与代数
math.ST - 统计理论
physics.med-ph - 医学物理学
q-bio.QM - 定量方法
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.IM]Galaxy morphology prediction using capsule networks
• [cond-mat.stat-mech]Active image restoration
• [cs.AI]A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings
• [cs.AI]A Learning Framework for High Precision Industrial Assembly
• [cs.AI]A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks
• [cs.AI]A Train Status Assistant for Indian Railways
• [cs.AI]Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
• [cs.AI]Interactions as Social Practices: towards a formalization
• [cs.AI]Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
• [cs.AI]Neural Arithmetic Expression Calculator
• [cs.AI]Representing Sets as Summed Semantic Vectors
• [cs.CL]A Byte-sized Approach to Named Entity Recognition
• [cs.CL]Chargrid: Towards Understanding 2D Documents
• [cs.CL]Context-Aware Attention for Understanding Twitter Abuse
• [cs.CL]Deformable Stacked Structure for Named Entity Recognition
• [cs.CL]Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach
• [cs.CL]How do you correct run-on sentences it's not as easy as it seems
• [cs.CL]Information-Weighted Neural Cache Language Models for ASR
• [cs.CL]Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
• [cs.CL]Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
• [cs.CL]Learning and Evaluating Sparse Interpretable Sentence Embeddings
• [cs.CL]Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
• [cs.CL]Neural Approaches to Conversational AI
• [cs.CL]Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
• [cs.CL]Opacity, Obscurity, and the Geometry of Question-Asking
• [cs.CL]Relating Zipf's law to textual information
• [cs.CL]Semi-Supervised Sequence Modeling with Cross-View Training
• [cs.CL]Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
• [cs.CL]Speaker Naming in Movies
• [cs.CL]Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
• [cs.CL]Textually Enriched Neural Module Networks for Visual Question Answering
• [cs.CL]Towards Language Agnostic Universal Representations
• [cs.CL]WiRe57 : A Fine-Grained Benchmark for Open Information Extraction
• [cs.CR]The Privacy Policy Landscape After the GDPR
• [cs.CV]A Framework towards Domain Specific Video Summarization
• [cs.CV]Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network
• [cs.CV]Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
• [cs.CV]Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection
• [cs.CV]Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling
• [cs.CV]Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images
• [cs.CV]FCHD: A fast and accurate head detector
• [cs.CV]Focus On What's Important: Self-Attention Model for Human Pose Estimation
• [cs.CV]Geometric Multi-Model Fitting by Deep Reinforcement Learning
• [cs.CV]Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback
• [cs.CV]Improved Semantic Stixels via Multimodal Sensor Fusion
• [cs.CV]Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation
• [cs.CV]Learning for Video Super-Resolution through HR Optical Flow Estimation
• [cs.CV]Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
• [cs.CV]Learning to Read by Spelling: Towards Unsupervised Text Recognition
• [cs.CV]Low Frequency Adversarial Perturbation
• [cs.CV]MobileFace: 3D Face Reconstruction with Efficient CNN Regression
• [cs.CV]Modern Convex Optimization to Medical Image Analysis
• [cs.CV]On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces
• [cs.CV]Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
• [cs.CV]RPNet: an End-to-End Network for Relative Camera Pose Estimation
• [cs.CV]Self Attention Grid for Person Re-Identification
• [cs.CV]SelfKin: Self Adjusted Deep Model For Kinship Verification
• [cs.CV]Shift-based Primitives for Efficient Convolutional Neural Networks
• [cs.CV]Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
• [cs.CV]Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps
• [cs.CV]SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
• [cs.CV]Understanding Fake Faces
• [cs.CV]Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
• [cs.CV]Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data
• [cs.CV]Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
• [cs.CV]Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
• [cs.CY]On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
• [cs.CY]Pachinko Prediction: A Bayesian method for event prediction from social media data
• [cs.DC]Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs
• [cs.DC]OS Scheduling Algorithms for Memory Intensive Workloads in Multi-socket Multi-core servers
• [cs.DC]Permissioned Blockchain Technologies for Academic Publishing
• [cs.DC]Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
• [cs.HC]The use of Virtual Reality in Enhancing Interdisciplinary Research and Education
• [cs.IR]Adversarial Recommendation: Attack of the Learned Fake Users
• [cs.IR]Differentiable Unbiased Online Learning to Rank
• [cs.IR]Query Understanding via Entity Attribute Identification
• [cs.IR]Recognizing Film Entities in Podcasts
• [cs.IT]A Unified Framework for the Tractable Analysis of Multi-Antenna Wireless Networks
• [cs.IT]Full-Duplex Transmission Optimization for Bi-directional MIMO links with QoS Guarantees
• [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying
• [cs.IT]Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks
• [cs.IT]Optimal Multicast of Tiled 360 VR Video
• [cs.IT]Secure and Energy-Efficient Transmissions in Cache-Enabled Heterogeneous Cellular Networks: Performance Analysis and Optimization
• [cs.IT]Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks
• [cs.IT]The Impact of Correlated Blocking on Millimeter-Wave Personal Networks
• [cs.LG]A Meta-Learning Approach for Custom Model Training
• [cs.LG]Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
• [cs.LG]Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams
• [cs.LG]CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences
• [cs.LG]Comment on All-optical machine learning using diffractive deep neural networks
• [cs.LG]DT-LET: Deep Transfer Learning by Exploring where to Transfer
• [cs.LG]Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics
• [cs.LG]Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks
• [cs.LG]Envy-Free Classification
• [cs.LG]Exponential Convergence Time of Gradient Descent for One-Dimensional Deep Linear Neural Networks
• [cs.LG]Fast Geometrically-Perturbed Adversarial Faces
• [cs.LG]Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation
• [cs.LG]Implicit Maximum Likelihood Estimation
• [cs.LG]Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
• [cs.LG]Norm-Ranging LSH for Maximum Inner Product Search
• [cs.LG]On the Behavior of the Expectation-Maximization Algorithm for Mixture Models
• [cs.LG]Person Identification using Seismic Signals generated from Footfalls
• [cs.LG]SDN Flow Entry Management Using Reinforcement Learning
• [cs.LG]Variational Collaborative Learning for User Probabilistic Representation
• [cs.LO]Quantitatively Admissible Representations and the "Main Theorem" of Type-2 COMPLEXITY Theory
• [cs.MM]Learning to Detect Fake Face Images in the Wild
• [cs.MM]Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing
• [cs.NE]Dense neural networks as sparse graphs and the lightning initialization
• [cs.NI]Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
• [cs.NI]Fundamental Limits of Invisible Flow Fingerprinting
• [cs.RO]: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems
• [cs.RO]A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing
• [cs.RO]A Learning Framework for Robust Bin Picking by Customized Grippers
• [cs.RO]An Architecture for Person-Following using Active Target Search
• [cs.RO]Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery
• [cs.RO]Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
• [cs.RO]DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
• [cs.RO]Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
• [cs.RO]Domain Adaptation in Robot Fault Diagnostic Systems
• [cs.RO]Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter
• [cs.RO]Online Tool and Task learning via Human Robot Interaction
• [cs.RO]Oscillation Damping Control of Pendulum-like Manipulation Platform using Moving Masses
• [cs.RO]Pneumatic Shape-shifting Fingers to Reorient and Grasp
• [cs.RO]Prioritized Kinematic Control of Joint-Constrained Head-Eye Robots using the Intermediate Value Approach
• [cs.RO]Regrasping by Fixtureless Fixturing
• [cs.RO]Robotics Rights and Ethics Rules
• [cs.RO]Social Navigation Planning Based on People's Awareness of Robots
• [cs.RO]Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches
• [cs.SE]Using JSON-LD to Compose Different IoT and Cloud Services
• [cs.SI]Adversarial Link Prediction in Social Networks
• [cs.SI]Augmenting Input Method Language Model with user Location Type Information
• [cs.SI]EXTRA: Explaining Team Recommendation in Networks
• [cs.SI]Evolution of Threats in the Global Risk Network
• [cs.SI]Multi-View Community Detection in Facebook Public Pages
• [cs.SI]Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers
• [cs.SI]Security Diffusion Games
• [econ.EM]An Automated Approach Towards Sparse Single-Equation Cointegration Modelling
• [eess.SP]On the Information in Extreme Measurements for Parameter Estimation
• [math.NA]Chebyshev approximation and the global geometry of sloppy models
• [math.OC]A Canonical Form for First-Order Distributed Optimization Algorithms
• [math.OC]Accelerated Gossip via Stochastic Heavy Ball Method
• [math.OC]Provably Correct Automatic Subdifferentiation for Qualified Programs
• [math.OC]Second-order Guarantees of Distributed Gradient Algorithms
• [math.OC]Wasserstein Distributionally Robust Kalman Filtering
• [math.PR]On the Maximum of Dependent Gaussian Random Variables: A Sharp Bound for the Lower Tail
• [math.RA]Galois extensions, positive involutions and an application to unitary space-time coding
• [math.ST]Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
• [math.ST]Estimating minimum effect with outlier selection
• [math.ST]Moment bounds for autocovariance matrices under dependence
• [math.ST]Penalized regression adjusted causal effect estimates in high dimensional randomized experiments
• [physics.med-ph]Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning
• [q-bio.QM]Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
• [q-bio.QM]Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals
• [q-fin.CP]An extension of Heston's SV model to Stochastic Interest Rates
• [q-fin.CP]Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing
• [stat.AP]Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
• [stat.AP]Modeling non-linear spectral domain dependence using copulas with applications to rat local field potentials
• [stat.AP]Semi Parametric Estimations of rotating and scaling parameters for aeronautic loads
• [stat.ME]A comparative tour through the simulation algorithms for max-stable processes
• [stat.ME]A default prior for regression coefficients
• [stat.ME]Interaction Detection with Bayesian Decision Tree Ensembles
• [stat.ME]Matrix Linear Discriminant Analysis
• [stat.ME]P-value: A Bless or A Curse for Evidence-Based Studies?
• [stat.ME]Preserving the distribution function in surveys in case of imputation for zero inflated data
• [stat.ME]Semiparametric Mixed-Scale Models Using Shared Bayesian Forests
• [stat.ML]A Kernel Embedding-based Approach for Nonstationary Causal Model Inference
• [stat.ML]A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net
• [stat.ML]Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models
• [stat.ML]Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
• [stat.ML]Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
• [stat.ML]Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier
• [stat.ML]Is Ordered Weighted Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR
• [stat.ML]Longitudinal data analysis using matrix completion
• [stat.ML]Orthogonally Decoupled Variational Gaussian Processes
• [stat.ML]Streaming dynamic and distributed inference of latent geometric structures
• [stat.ML]Unified recurrent neural network for many feature types
• [stat.ML]Unrestricted Adversarial Examples
·····································
• [astro-ph.IM]Galaxy morphology prediction using capsule networks
Reza Katebi, Yadi Zhou, Ryan Chornock, Razvan Bunescu
http://arxiv.org/abs/1809.08377v1
• [cond-mat.stat-mech]Active image restoration
Rongrong Xie, Shengfeng Deng, Weibing Deng, Armen E. Allahverdyan
http://arxiv.org/abs/1809.08406v1
• [cs.AI]A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings
Mainak Dan, Seshadhri Srinivasan
http://arxiv.org/abs/1809.08860v1
• [cs.AI]A Learning Framework for High Precision Industrial Assembly
Yongxiang Fan, Jieliang Luo, Masayoshi Tomizuka
http://arxiv.org/abs/1809.08548v1
• [cs.AI]A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks
Kamran Zia, Nauman Javed, Muhammad Nadeem Sial, Sohail Ahmed, Hifsa Iram, Asad Amir Pirzada
http://arxiv.org/abs/1809.08748v1
• [cs.AI]A Train Status Assistant for Indian Railways
Himadri Mishra, Ramashish Gaurav, Biplav Srivastava
http://arxiv.org/abs/1809.08509v1
• [cs.AI]Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing
Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill Jenn Vie
http://arxiv.org/abs/1809.08713v1
• [cs.AI]Interactions as Social Practices: towards a formalization
Frank Dignum
http://arxiv.org/abs/1809.08751v1
• [cs.AI]Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu
http://arxiv.org/abs/1809.08422v1
• [cs.AI]Neural Arithmetic Expression Calculator
Kaiyu Chen, Yihan Dong, Xipeng Qiu, Zitian Chen
http://arxiv.org/abs/1809.08590v1
• [cs.AI]Representing Sets as Summed Semantic Vectors
Douglas Summers-Stay, Peter Sutor, Dandan Li
http://arxiv.org/abs/1809.08823v1
• [cs.CL]A Byte-sized Approach to Named Entity Recognition
Emily Sheng, Prem Natarajan
http://arxiv.org/abs/1809.08386v1
• [cs.CL]Chargrid: Towards Understanding 2D Documents
Anoop Raveendra Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul
http://arxiv.org/abs/1809.08799v1
• [cs.CL]Context-Aware Attention for Understanding Twitter Abuse
Tuhin Chakrabarty, Kilol Gupta
http://arxiv.org/abs/1809.08726v1
• [cs.CL]Deformable Stacked Structure for Named Entity Recognition
Shuyang Cao, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/1809.08730v1
• [cs.CL]Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach
Aditya Gaydhani, Vikrant Doma, Shrikant Kendre, Laxmi Bhagwat
http://arxiv.org/abs/1809.08651v1
• [cs.CL]How do you correct run-on sentences it's not as easy as it seems
Junchao Zheng, Courtney Napoles, Joel Tetreault, Kostiantyn Omelianchuk
http://arxiv.org/abs/1809.08298v1
• [cs.CL]Information-Weighted Neural Cache Language Models for ASR
Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq
http://arxiv.org/abs/1809.08826v1
• [cs.CL]Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty, Lluis Marquez, Preslav Nakov
http://arxiv.org/abs/1809.08928v1
• [cs.CL]Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Xiao Liu, Zhunchen Luo, Heyan Huang
http://arxiv.org/abs/1809.09078v1
• [cs.CL]Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko, Thomas Hofmann
http://arxiv.org/abs/1809.08621v1
• [cs.CL]Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann
http://arxiv.org/abs/1809.08652v1
• [cs.CL]Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
http://arxiv.org/abs/1809.08267v1
• [cs.CL]Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Katharina Kann, Hinrich Schütze
http://arxiv.org/abs/1809.08733v1
• [cs.CL]Opacity, Obscurity, and the Geometry of Question-Asking
Christina Boyce-Jacino, Simon DeDeo
http://arxiv.org/abs/1809.08291v1
• [cs.CL]Relating Zipf's law to textual information
Weibing Deng, Armen E. Allahverdyan
http://arxiv.org/abs/1809.08399v1
• [cs.CL]Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le
http://arxiv.org/abs/1809.08370v1
• [cs.CL]Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!
Katharina Kann, Sascha Rothe, Katja Filippova
http://arxiv.org/abs/1809.08731v1
• [cs.CL]Speaker Naming in Movies
Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea
http://arxiv.org/abs/1809.08761v1
• [cs.CL]Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir Radev
http://arxiv.org/abs/1809.08887v1
• [cs.CL]Textually Enriched Neural Module Networks for Visual Question Answering
Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix, Narendra Nath Joshi
http://arxiv.org/abs/1809.08697v1
• [cs.CL]Towards Language Agnostic Universal Representations
Armen Aghajanyan, Xia Song, Saurabh Tiwary
http://arxiv.org/abs/1809.08510v1
• [cs.CL]WiRe57 : A Fine-Grained Benchmark for Open Information Extraction
William Léchelle, Fabrizio Gotti, Philippe Langlais
http://arxiv.org/abs/1809.08962v1
• [cs.CR]The Privacy Policy Landscape After the GDPR
Thomas Linden, Hamza Harkous, Kassem Fawaz
http://arxiv.org/abs/1809.08396v1
• [cs.CV]A Framework towards Domain Specific Video Summarization
Vishal Kaushal, Rishabh Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan
http://arxiv.org/abs/1809.08854v1
• [cs.CV]Accelerate CU Partition in HEVC using Large-Scale Convolutional Neural Network
Chenying Wang, Li Yu, Shengwei Wang
http://arxiv.org/abs/1809.08617v1
• [cs.CV]Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/1809.08448v1
• [cs.CV]Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection
Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan
http://arxiv.org/abs/1809.08440v1
• [cs.CV]Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling
Judith Bütepage, Hedvig Kjellström, Danica Kragic
http://arxiv.org/abs/1809.08875v1
• [cs.CV]Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images
Shuaa S. Alharbi, Cigdem Sazak, Carl J. Nelson, Boguslaw Obara
http://arxiv.org/abs/1809.08678v1
• [cs.CV]FCHD: A fast and accurate head detector
Aditya Vora
http://arxiv.org/abs/1809.08766v1
• [cs.CV]Focus On What's Important: Self-Attention Model for Human Pose Estimation
Guanxiong Sun, Chengqin Ye, Kuanquan Wang
http://arxiv.org/abs/1809.08371v1
• [cs.CV]Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang
http://arxiv.org/abs/1809.08397v1
• [cs.CV]Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback
Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu
http://arxiv.org/abs/1809.08714v1
• [cs.CV]Improved Semantic Stixels via Multimodal Sensor Fusion
Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner
http://arxiv.org/abs/1809.08993v1
• [cs.CV]Incorporating Luminance, Depth and Color Information by Fusion-based Networks for Semantic Segmentation
Shang-Wei Hung, Shao-Yuan Lo
http://arxiv.org/abs/1809.09077v1
• [cs.CV]Learning for Video Super-Resolution through HR Optical Flow Estimation
Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An
http://arxiv.org/abs/1809.08573v1
• [cs.CV]Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg
http://arxiv.org/abs/1809.08381v1
• [cs.CV]Learning to Read by Spelling: Towards Unsupervised Text Recognition
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
http://arxiv.org/abs/1809.08675v1
• [cs.CV]Low Frequency Adversarial Perturbation
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
http://arxiv.org/abs/1809.08758v1
• [cs.CV]MobileFace: 3D Face Reconstruction with Efficient CNN Regression
Nikolai Chinaev, Alexander Chigorin, Ivan Laptev
http://arxiv.org/abs/1809.08809v1
• [cs.CV]Modern Convex Optimization to Medical Image Analysis
Jing Yuan, Aaron Fenster
http://arxiv.org/abs/1809.08734v1
• [cs.CV]On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
http://arxiv.org/abs/1809.08986v1
• [cs.CV]Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
Mayank Gupta, Abhinav Kumar, Sriganesh Madhvanath
http://arxiv.org/abs/1809.08488v1
• [cs.CV]RPNet: an End-to-End Network for Relative Camera Pose Estimation
Sovann En, Alexis Lechervy, Frédéric Jurie
http://arxiv.org/abs/1809.08402v1
• [cs.CV]Self Attention Grid for Person Re-Identification
Jean-Paul Ainam, Ke Qin, Guisong Liu
http://arxiv.org/abs/1809.08556v1
• [cs.CV]SelfKin: Self Adjusted Deep Model For Kinship Verification
Eran Dahan, Yosi Keller
http://arxiv.org/abs/1809.08493v1
• [cs.CV]Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma, Kris Kitani
http://arxiv.org/abs/1809.08458v1
• [cs.CV]Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani
http://arxiv.org/abs/1809.08545v1
• [cs.CV]Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps
Nícolas Rosa, Vitor Guizilini, Valdir Grassi Jr
http://arxiv.org/abs/1809.09061v1
• [cs.CV]SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer
http://arxiv.org/abs/1809.08495v1
• [cs.CV]Understanding Fake Faces
Ryota Natsume, Kazuki Inoue, Yoshihiro Fukuhara, Shintaro Yamamoto, Shigeo Morishima, Hirokatsu Kataoka
http://arxiv.org/abs/1809.08391v1
• [cs.CV]Unsupervised Image to Sequence Translation with Canvas-Drawer Networks
Kevin Frans, Chin-yi Cheng
http://arxiv.org/abs/1809.08340v1
• [cs.CV]Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data
Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos
http://arxiv.org/abs/1809.08625v1
• [cs.CV]Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
Rishabh Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal
http://arxiv.org/abs/1809.08846v1
• [cs.CV]Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva, Nikos Paragios
http://arxiv.org/abs/1809.09004v1
• [cs.CY]On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Marcelo Prates, Pedro Avelar, Luis C. Lamb
http://arxiv.org/abs/1809.08328v1
• [cs.CY]Pachinko Prediction: A Bayesian method for event prediction from social media data
Jonathan Tuke, Andrew Nguyen, Mehwish Nasim, Drew Mellor, Asanga Wickramasinghe, Nigel Bean, Lewis Mitchell
http://arxiv.org/abs/1809.08427v1
• [cs.DC]Harvesting Time-Series Data from Service-Based Systems Hosted in MANETs
Petr Novotny, Bong Jun Ko, Alexander L. Wolf
http://arxiv.org/abs/1809.08526v1
• [cs.DC]OS Scheduling Algorithms for Memory Intensive Workloads in Multi-socket Multi-core servers
Murthy Durbhakula
http://arxiv.org/abs/1809.08628v1
• [cs.DC]Permissioned Blockchain Technologies for Academic Publishing
Petr Novotny, Qi Zhang, Richard Hull, Salman Baset, Jim Laredo, Roman Vaculin, Daniel L. Ford, Donna N. Dillenberger
http://arxiv.org/abs/1809.08529v1
• [cs.DC]Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Ravi Kiran Raman, Roman Vaculin, Michael Hind, Sekou L. Remy, Eleftheria K. Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney
http://arxiv.org/abs/1809.08438v1
• [cs.HC]The use of Virtual Reality in Enhancing Interdisciplinary Research and Education
Tiffany Leung, Farhana Zulkernine, Haruna Isah
http://arxiv.org/abs/1809.08585v1
• [cs.IR]Adversarial Recommendation: Attack of the Learned Fake Users
Konstantina Christakopoulou, Arindam Banerjee
http://arxiv.org/abs/1809.08336v1
• [cs.IR]Differentiable Unbiased Online Learning to Rank
Harrie Oosterhuis, Maarten de Rijke
http://arxiv.org/abs/1809.08415v1
• [cs.IR]Query Understanding via Entity Attribute Identification
Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi, Mahmood Neshati
http://arxiv.org/abs/1809.08566v1
• [cs.IR]Recognizing Film Entities in Podcasts
Ahmet Salih Gundogdu, Arjun Sanghvi, Keith Harrigian
http://arxiv.org/abs/1809.08711v1
• [cs.IT]A Unified Framework for the Tractable Analysis of Multi-Antenna Wireless Networks
Xianghao Yu, Chang Li, Jun Zhang, Martin Haenggi, Khaled B. Letaief
http://arxiv.org/abs/1809.08365v1
• [cs.IT]Full-Duplex Transmission Optimization for Bi-directional MIMO links with QoS Guarantees
Hiroki Iimori, Giuseppe Abreu, George C. Alexandropoulos
http://arxiv.org/abs/1809.08788v1
• [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying
Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
http://arxiv.org/abs/1809.08994v1
• [cs.IT]Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks
Kai Yang, Yuanming Shi, Zhi Ding
http://arxiv.org/abs/1809.08537v1
• [cs.IT]Optimal Multicast of Tiled 360 VR Video
Chengjun Guo, Ying Cui, Zhi Liu
http://arxiv.org/abs/1809.08767v1
• [cs.IT]Secure and Energy-Efficient Transmissions in Cache-Enabled Heterogeneous Cellular Networks: Performance Analysis and Optimization
Tong-Xing Zheng, Hui-Ming Wang, Jinhong Yuan
http://arxiv.org/abs/1809.08383v1
• [cs.IT]Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks
Kobi Cohen, Amir Leshem
http://arxiv.org/abs/1809.08468v1
• [cs.IT]The Impact of Correlated Blocking on Millimeter-Wave Personal Networks
Enass Hriba, Matthew C. Valenti
http://arxiv.org/abs/1809.08372v1
• [cs.LG]A Meta-Learning Approach for Custom Model Training
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, David Eigen, Massoud Pedram
http://arxiv.org/abs/1809.08346v1
• [cs.LG]Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
Bao Wang, Alex T. Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
http://arxiv.org/abs/1809.08516v1
• [cs.LG]Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams
Mahardhika Pratama, Andri Ashfahani, Yew Soon Ong, Savitha Ramasamy, Edwin Lughofer
http://arxiv.org/abs/1809.09081v1
• [cs.LG]CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences
Andrea Loreggia, Nicholas Mattei, Francesca Rossi, K. Brent Venable
http://arxiv.org/abs/1809.08350v1
• [cs.LG]Comment on All-optical machine learning using diffractive deep neural networks
Haiqing Wei, Gang Huang, Xiuqing Wei, Yanlong Sun, Hongbin Wang
http://arxiv.org/abs/1809.08360v1
• [cs.LG]DT-LET: Deep Transfer Learning by Exploring where to Transfer
Jianzhe Lin, Qi Wang, Rabab Ward, Z. Jane Wang
http://arxiv.org/abs/1809.08541v1
• [cs.LG]Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics
Lukas Fuhrimann, Vahid Moosavi, Patrick Ole Ohlbrock, Pierluigi Dacunto
http://arxiv.org/abs/1809.08660v1
• [cs.LG]Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks
Isidro Cortes-Ciriano, Andreas Bender
http://arxiv.org/abs/1809.09060v1
• [cs.LG]Envy-Free Classification
Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia
http://arxiv.org/abs/1809.08700v1
• [cs.LG]Exponential Convergence Time of Gradient Descent for One-Dimensional Deep Linear Neural Networks
Ohad Shamir
http://arxiv.org/abs/1809.08587v1
• [cs.LG]Fast Geometrically-Perturbed Adversarial Faces
Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
http://arxiv.org/abs/1809.08999v1
• [cs.LG]Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation
Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan, Zahidun Ashrafi
http://arxiv.org/abs/1809.08417v1
• [cs.LG]Implicit Maximum Likelihood Estimation
Ke Li, Jitendra Malik
http://arxiv.org/abs/1809.09087v1
• [cs.LG]Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
http://arxiv.org/abs/1809.08343v1
• [cs.LG]Norm-Ranging LSH for Maximum Inner Product Search
Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng
http://arxiv.org/abs/1809.08782v1
• [cs.LG]On the Behavior of the Expectation-Maximization Algorithm for Mixture Models
Babak Barazandeh, Meisam Razaviyayn
http://arxiv.org/abs/1809.08705v1
• [cs.LG]Person Identification using Seismic Signals generated from Footfalls
Bodhibrata Mukhopadhyay, Sahil Anchal, Subrat Kar
http://arxiv.org/abs/1809.08783v1
• [cs.LG]SDN Flow Entry Management Using Reinforcement Learning
Ting-Yu Mu, Ala Al-Fuqaha, Khaled Shuaib, Farag M. Sallabi, Junaid Qadir
http://arxiv.org/abs/1809.09003v1
• [cs.LG]Variational Collaborative Learning for User Probabilistic Representation
Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang
http://arxiv.org/abs/1809.08400v1
• [cs.LO]Quantitatively Admissible Representations and the "Main Theorem" of Type-2 COMPLEXITY Theory
Akitoshi Kawamura, Donghyun Lim, Svetlana Selivanova, Martin Ziegler
http://arxiv.org/abs/1809.08695v1
• [cs.MM]Learning to Detect Fake Face Images in the Wild
Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang
http://arxiv.org/abs/1809.08754v1
• [cs.MM]Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing
Lydia Weiland, Simone Paolo Ponzetto, Wolfgang Effelsberg, Laura Dietz
http://arxiv.org/abs/1809.08593v1
• [cs.NE]Dense neural networks as sparse graphs and the lightning initialization
Thomas Pircher, Dominik Haspel, Eberhard Schlücker
http://arxiv.org/abs/1809.08836v1
• [cs.NI]Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
Yaohua Sun, Mugen Peng, Yangcheng Zhou, Yuzhe Huang, Shiwen Mao
http://arxiv.org/abs/1809.08707v1
• [cs.NI]Fundamental Limits of Invisible Flow Fingerprinting
Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr
http://arxiv.org/abs/1809.08514v1
• [cs.RO]: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems
Yiannis Kantaros, Michael M. Zavlanos
http://arxiv.org/abs/1809.08345v1
• [cs.RO]A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing
Mehdi Rahimi, Spencer Gibb, Yantao Shen, Hung Manh La
http://arxiv.org/abs/1809.08337v1
• [cs.RO]A Learning Framework for Robust Bin Picking by Customized Grippers
Yongxiang Fan, Hsien-Chung Lin, Te Tang, Masayoshi Tomizuka
http://arxiv.org/abs/1809.08546v1
• [cs.RO]An Architecture for Person-Following using Active Target Search
Minkyu Kim, Miguel Arduengo, Nick Walker, Yuqian Jiang, Justin W. Hart, Peter Stone, Luis Sentis
http://arxiv.org/abs/1809.08793v1
• [cs.RO]Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery
Florian Richter, Yifei Zhang, Yuheng Zhi, Ryan K. Orosco, Michael C. Yip
http://arxiv.org/abs/1809.08627v1
• [cs.RO]Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi
http://arxiv.org/abs/1809.08835v1
• [cs.RO]DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
Chao Yu, Zuxin Liu, Xinjun Liu, Fugui Xie, Yi Yang, Qi Wei, Qiao Fei
http://arxiv.org/abs/1809.08379v1
• [cs.RO]Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
http://arxiv.org/abs/1809.08613v1
• [cs.RO]Domain Adaptation in Robot Fault Diagnostic Systems
Arash Golibagh Mahyari
http://arxiv.org/abs/1809.08626v1
• [cs.RO]Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter
Douglas Morrison, Peter Corke, Jürgen Leitner
http://arxiv.org/abs/1809.08564v1
• [cs.RO]Online Tool and Task learning via Human Robot Interaction
Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jagersand
http://arxiv.org/abs/1809.08722v1
• [cs.RO]Oscillation Damping Control of Pendulum-like Manipulation Platform using Moving Masses
Min Jun Kim, Jianjie Lin, Konstantin Kondak, Dongheui Lee, Christian Ott
http://arxiv.org/abs/1809.08819v1
• [cs.RO]Pneumatic Shape-shifting Fingers to Reorient and Grasp
Nikhil Chavan-Dafle, Kyubin Lee, Alberto Rodriguez
http://arxiv.org/abs/1809.08420v1
• [cs.RO]Prioritized Kinematic Control of Joint-Constrained Head-Eye Robots using the Intermediate Value Approach
Steven Jens Jorgensen, Orion Campbell, Travis Llado, Jaemin Lee, Brandon Shang, Luis Sentis
http://arxiv.org/abs/1809.08750v1
• [cs.RO]Regrasping by Fixtureless Fixturing
Nikhil Chavan-Dafle, Alberto Rodriguez
http://arxiv.org/abs/1809.08522v1
• [cs.RO]Robotics Rights and Ethics Rules
Tuncay Yigit, Utku Kose, Nilgun Sengoz
http://arxiv.org/abs/1809.08885v1
• [cs.RO]Social Navigation Planning Based on People's Awareness of Robots
Minkyu Kim, Jaemin Lee, Steven Jens Jorgensen, Luis Sentis
http://arxiv.org/abs/1809.08780v1
• [cs.RO]Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches
Dario Mantegazza, Jérôme Guzzi, Luca M. Gambardella, Alessandro Giusti
http://arxiv.org/abs/1809.08881v1
• [cs.SE]Using JSON-LD to Compose Different IoT and Cloud Services
Darko Andročec
http://arxiv.org/abs/1809.08233v1
• [cs.SI]Adversarial Link Prediction in Social Networks
Kai Zhou, Tomasz P. Michalak, Talal Rahwan, Marcin Waniek, Yevgeniy Vorobeychik
http://arxiv.org/abs/1809.08368v1
• [cs.SI]Augmenting Input Method Language Model with user Location Type Information
Di He
http://arxiv.org/abs/1809.08349v1
• [cs.SI]EXTRA: Explaining Team Recommendation in Networks
Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong
http://arxiv.org/abs/1809.08511v1
• [cs.SI]Evolution of Threats in the Global Risk Network
Xiang Niu, Alaa Moussawi, Gyorgy Korniss, Boleslaw K. Szymanski
http://arxiv.org/abs/1809.08523v1
• [cs.SI]Multi-View Community Detection in Facebook Public Pages
Zhige Xin, George Barnett, Jon W. Chapman, S. Felix Wu
http://arxiv.org/abs/1809.08658v1
• [cs.SI]Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers
Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey
http://arxiv.org/abs/1809.08489v1
• [cs.SI]Security Diffusion Games
Marcin Waniek, Tomasz P. Michalak, Aamena Alshamsi
http://arxiv.org/abs/1809.08538v1
• [econ.EM]An Automated Approach Towards Sparse Single-Equation Cointegration Modelling
Stephan Smeekes, Etienne Wijler
http://arxiv.org/abs/1809.08889v1
• [eess.SP]On the Information in Extreme Measurements for Parameter Estimation
Jonatan Ostrometzky, Hagit Messer
http://arxiv.org/abs/1809.08662v1
• [math.NA]Chebyshev approximation and the global geometry of sloppy models
Katherine N. Quinn, Heather Wilber, Alex Townsend, James P. Sethna
http://arxiv.org/abs/1809.08280v1
• [math.OC]A Canonical Form for First-Order Distributed Optimization Algorithms
Akhil Sundararajan, Bryan Van Scoy, Laurent Lessard
http://arxiv.org/abs/1809.08709v1
• [math.OC]Accelerated Gossip via Stochastic Heavy Ball Method
Nicolas Loizou, Peter Richtárik
http://arxiv.org/abs/1809.08657v1
• [math.OC]Provably Correct Automatic Subdifferentiation for Qualified Programs
Sham Kakade, Jason D. Lee
http://arxiv.org/abs/1809.08530v1
• [math.OC]Second-order Guarantees of Distributed Gradient Algorithms
Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
http://arxiv.org/abs/1809.08694v1
• [math.OC]Wasserstein Distributionally Robust Kalman Filtering
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
http://arxiv.org/abs/1809.08830v1
• [math.PR]On the Maximum of Dependent Gaussian Random Variables: A Sharp Bound for the Lower Tail
Miles E. Lopes
http://arxiv.org/abs/1809.08539v1
• [math.RA]Galois extensions, positive involutions and an application to unitary space-time coding
Vincent Astier, Thomas Unger
http://arxiv.org/abs/1809.08954v1
• [math.ST]Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Richard Nickl, Sara van de Geer, Sven Wang
http://arxiv.org/abs/1809.08818v1
• [math.ST]Estimating minimum effect with outlier selection
Alexandra Carpentier, Sylvain Delattre, Etienne Roquain, Nicolas Verzelen
http://arxiv.org/abs/1809.08330v1
• [math.ST]Moment bounds for autocovariance matrices under dependence
Fang Han, Yicheng Li
http://arxiv.org/abs/1809.08760v1
• [math.ST]Penalized regression adjusted causal effect estimates in high dimensional randomized experiments
Hanzhong Liu, Yuehan Yang
http://arxiv.org/abs/1809.08732v1
• [physics.med-ph]Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning
Gopal Nataraj, Jon-Fredrik Nielsen, Mingjie Gao, Jeffrey A. Fessler
http://arxiv.org/abs/1809.08908v1
• [q-bio.QM]Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
Justus T. C. Schwabedal, Daniel Sippel, Moritz D. Brandt, Stephan Bialonski
http://arxiv.org/abs/1809.08443v1
• [q-bio.QM]Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals
Kuan Tung, Po-Kang Liu, Yu-Chuan Chuang, Sheng-Hui Wang, An-Yeu Wu
http://arxiv.org/abs/1809.08410v1
• [q-fin.CP]An extension of Heston's SV model to Stochastic Interest Rates
Javier de Frutos, Victor Gaton
http://arxiv.org/abs/1809.09069v1
• [q-fin.CP]Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing
Junfeng Jiang, Jiahao Li
http://arxiv.org/abs/1809.08390v1
• [stat.AP]Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
Safa C. Medin, John Murray-Bruce, David Castañón, Vivek K Goyal
http://arxiv.org/abs/1809.08801v1
• [stat.AP]Modeling non-linear spectral domain dependence using copulas with applications to rat local field potentials
Charles Fontaine, Ron D. Frostig, Hernando Ombao
http://arxiv.org/abs/1809.08785v1
• [stat.AP]Semi Parametric Estimations of rotating and scaling parameters for aeronautic loads
Edouard Fournier, Stéphane Grihon, Thierry Klein
http://arxiv.org/abs/1809.08871v1
• [stat.ME]A comparative tour through the simulation algorithms for max-stable processes
Marco Oesting, Kirstin Strokorb
http://arxiv.org/abs/1809.09042v1
• [stat.ME]A default prior for regression coefficients
Erik van Zwet
http://arxiv.org/abs/1809.08449v1
• [stat.ME]Interaction Detection with Bayesian Decision Tree Ensembles
Junliang Du, Antonio R. Linero
http://arxiv.org/abs/1809.08524v1
• [stat.ME]Matrix Linear Discriminant Analysis
Wei Hu, Weining Shen, Hua Zhou, Dehan Kong
http://arxiv.org/abs/1809.08746v1
• [stat.ME]P-value: A Bless or A Curse for Evidence-Based Studies?
Haolun Shi, Guosheng Yin
http://arxiv.org/abs/1809.08503v1
• [stat.ME]Preserving the distribution function in surveys in case of imputation for zero inflated data
Guillaume Chauvet, Brigitte Gelein
http://arxiv.org/abs/1809.08872v1
• [stat.ME]Semiparametric Mixed-Scale Models Using Shared Bayesian Forests
Antonio R. Linero, Debajyoti Sinha, Stuart R. Lipsitz
http://arxiv.org/abs/1809.08521v1
• [stat.ML]A Kernel Embedding-based Approach for Nonstationary Causal Model Inference
Shoubo Hu, Zhitang Chen, Laiwan Chan
http://arxiv.org/abs/1809.08560v1
• [stat.ML]A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net
Ernesto de Vito, Zeljko Kereta, Valeria Naumova
http://arxiv.org/abs/1809.08696v1
• [stat.ML]Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng
http://arxiv.org/abs/1809.08568v1
• [stat.ML]Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
Vassilis N. Ioannidis, Ahmed S. Zamzam, Georgios B. Giannakis, Nicholas D. Sidiropoulos
http://arxiv.org/abs/1809.08353v1
• [stat.ML]Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, Stanisław Jastrzębski, Jacek Tabor, Maciej A. Nowak
http://arxiv.org/abs/1809.08848v1
• [stat.ML]Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier
Jordi de la Torre, Aida Valls, Domenec Puig, Pere Romero-Aroca
http://arxiv.org/abs/1809.08567v1
• [stat.ML]Is Ordered Weighted Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR
Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
http://arxiv.org/abs/1809.08706v1
• [stat.ML]Longitudinal data analysis using matrix completion
Łukasz Kidziński, Trevor Hastie
http://arxiv.org/abs/1809.08771v1
• [stat.ML]Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Deisenroth
http://arxiv.org/abs/1809.08820v1
• [stat.ML]Streaming dynamic and distributed inference of latent geometric structures
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen
http://arxiv.org/abs/1809.08738v1
• [stat.ML]Unified recurrent neural network for many feature types
Alexander Stec, Diego Klabjan, Jean Utke
http://arxiv.org/abs/1809.08717v1
• [stat.ML]Unrestricted Adversarial Examples
Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, Ian Goodfellow
http://arxiv.org/abs/1809.08352v1
网友评论