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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 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.LO - 计算逻辑 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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 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.stat-mech]Entropy from Machine Learning
• [cs.AI]Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
• [cs.AI]Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
• [cs.AI]Data Interpretation Support in Rescue Operations: Application for French Firefighters
• [cs.AI]Demystifying active inference
• [cs.AI]Inducing Hypernym Relationships Based On Order Theory
• [cs.AI]Interpretable Models of Human Interaction in Immersive Simulation Settings
• [cs.AI]Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
• [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
• [cs.AI]Talk2Car: Taking Control of Your Self-Driving Car
• [cs.CL]An Empirical Study of Content Understanding in Conversational Question Answering
• [cs.CL]Application of Fuzzy Clustering for Text Data Dimensionality Reduction
• [cs.CL]Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
• [cs.CL]Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
• [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
• [cs.CL]Data Ordering Patterns for Neural Machine Translation: An Empirical Study
• [cs.CL]Deep Text Mining of Instagram Data Without Strong Supervision
• [cs.CL]Do Massively Pretrained Language Models Make Better Storytellers?
• [cs.CL]In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
• [cs.CL]Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
• [cs.CL]Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
• [cs.CL]Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
• [cs.CL]LitGen: Genetic Literature Recommendation Guided by Human Explanations
• [cs.CL]Multi-stage Pretraining for Abstractive Summarization
• [cs.CL]Neural Generative Rhetorical Structure Parsing
• [cs.CL]Paying Attention to Function Words
• [cs.CL]Portuguese Named Entity Recognition using BERT-CRF
• [cs.CL]Situating Sentence Embedders with Nearest Neighbor Overlap
• [cs.CL]Technical report on Conversational Question Answering
• [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
• [cs.CL]Transfer Learning across Languages from Someone Else’s NMT Model
• [cs.CL]TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
• [cs.CL]Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
• [cs.CR]MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
• [cs.CR]Suspicious Transactions in Smart Spaces
• [cs.CR]Towards the Uses of Blockchain in Mobile Health Services and Applications: A Survey
• [cs.CV]A System-Level Solution for Low-Power Object Detection
• [cs.CV]Augmented Memory for Correlation Filters in Real-Time UAV Tracking
• [cs.CV]COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
• [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
• [cs.CV]Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees
• [cs.CV]Direct training based spiking convolutional neural networks for object recognition
• [cs.CV]Distortion Estimation Through Explicit Modeling of the Refractive Surface
• [cs.CV]Enhancing Traffic Scene Predictions with Generative Adversarial Networks
• [cs.CV]FEED: Feature-level Ensemble for Knowledge Distillation
• [cs.CV]Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms
• [cs.CV]IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks
• [cs.CV]Image Recognition using Region Creep
• [cs.CV]Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
• [cs.CV]Learning deep representations for video-based intake gesture detection
• [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
• [cs.CV]Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
• [cs.CV]Multi-Person 3D Human Pose Estimation from Monocular Images
• [cs.CV]Object-Contextual Representations for Semantic Segmentation
• [cs.CV]On the Convergence of ADMM with Task Adaption and Beyond
• [cs.CV]PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
• [cs.CV]Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach
• [cs.CV]Relational Learning for Joint Head and Human Detection
• [cs.CV]Restyling Data: Application to Unsupervised Domain Adaptation
• [cs.CV]Single Camera Training for Person Re-identification
• [cs.CV]Synthetic dataset generation for object-to-model deep learning in industrial applications
• [cs.CV]Unified Vision-Language Pre-Training for Image Captioning and VQA
• [cs.DB]A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
• [cs.DC]A high-level characterisation and generalisation of communication-avoiding programming techniques
• [cs.DC]Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
• [cs.DC]Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT
• [cs.DC]Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing
• [cs.DL]Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System
• [cs.DS]Analysis of a Model for Generating Weakly Scale-free Networks
• [cs.DS]Optimal Learning of Joint Alignments with a Faulty Oracle
• [cs.DS]The space complexity of inner product filters
• [cs.GT]It’s Not Whom You Know, It’s What You (or Your Friends) Can Do: Succint Coalitional Frameworks for Network Centralities
• [cs.HC]Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis
• [cs.HC]Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework
• [cs.IR]Improving Collaborative Metric Learning with Efficient Negative Sampling
• [cs.IT]Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
• [cs.IT]Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
• [cs.IT]Error Decoding of Locally Repairable and Partial MDS Codes
• [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
• [cs.IT]Optimally Resilient Codes for List-Decoding from Insertions and Deletions
• [cs.IT]Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
• [cs.LG]A Neural Network Based Method to Solve Boundary Value Problems
• [cs.LG]AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
• [cs.LG]Compiler-Level Matrix Multiplication Optimization for Deep Learning
• [cs.LG]Constrained deep neural network architecture search for IoT devices accounting hardware calibration
• [cs.LG]Dimension Estimation Using Autoencoders
• [cs.LG]Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
• [cs.LG]Gap Aware Mitigation of Gradient Staleness
• [cs.LG]Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
• [cs.LG]HAWKEYE: Adversarial Example Detector for Deep Neural Networks
• [cs.LG]IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
• [cs.LG]Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
• [cs.LG]Jointly Learning to Detect Emotions and Predict Facebook Reactions
• [cs.LG]Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning
• [cs.LG]Monotonic Trends in Deep Neural Networks
• [cs.LG]PAC Reinforcement Learning without Real-World Feedback
• [cs.LG]Recurrent Independent Mechanisms
• [cs.LG]Reservoir Topology in Deep Echo State Networks
• [cs.LG]Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
• [cs.LG]Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
• [cs.LG]Understanding and Improving One-shot Neural Architecture Optimization
• [cs.LG]WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
• [cs.LG]Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
• [cs.LG]dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
• [cs.LO]Learning definable hypotheses on trees
• [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
• [cs.RO]Building a Library of Tactile Skills Based on FingerVision
• [cs.RO]Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot
• [cs.RO]Controlling Assistive Robots with Learned Latent Actions
• [cs.RO]Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
• [cs.RO]Invariant Transform Experience Replay
• [cs.RO]Mine Tunnel Exploration using Multiple Quadrupedal Robots
• [cs.RO]Multi-agent Interactive Prediction under Challenging Driving Scenarios
• [cs.RO]Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
• [cs.RO]Software architecture for YOLO, a creativity-stimulating robot
• [cs.RO]Tethered Tool Manipulation Planning with Cable Maneuvering
• [cs.RO]The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera
• [cs.RO]Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles
• [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
• [cs.SE]An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications
• [cs.SI]Temporal effects of Unmoderated Hate speech in Gab
• [eess.AS]Understanding Semantics from Speech Through Pre-training
• [eess.IV]Analysis of Generalized Entropies in Mutual Information Medical Image Registration
• [eess.IV]Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
• [eess.IV]Automatic techniques for cochlear implant CT image analysis
• [eess.IV]LISR: Image Super-resolution under Hardware Constraints
• [eess.IV]Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
• [eess.IV]Offline identification of surgical deviations in laparoscopic rectopexy
• [eess.IV]s-LWSR: Super Lightweight Super-Resolution Network
• [eess.SP]Phase Retrieval via Smooth Amplitude Flow
• [eess.SP]Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs
• [eess.SP]Wavelet invariants for statistically robust multi-reference alignment
• [eess.SY]Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
• [hep-ph]Towards hardware acceleration for parton densities estimation
• [math.DS]Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
• [math.NA]Numerical evaluation of the transition probability of the simple birth-and-death process
• [math.OC]Faster saddle-point optimization for solving large-scale Markov decision processes
• [math.ST]Double-estimation-friendly inference for high-dimensional misspecified models
• [math.ST]High-probability bounds for the reconstruction error of PCA
• [math.ST]The Trimmed Mean in Non-parametric Regression Function Estimation
• [math.ST]The column measure and Gradient-Free Gradient Boosting
• [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
• [physics.soc-ph]A data-driven model for Mass Media influence in electoral context
• [physics.soc-ph]Bipartite networks describe R&D collaboration between institutions
• [q-fin.ST]Implied volatility surface predictability: the case of commodity markets
• [q-fin.ST]Structural Change Analysis of Active Cryptocurrency Market
• [quant-ph]Quantum Inflation: A General Approach to Quantum Causal Compatibility
• [stat.AP]Analyzing the National Football League is challenging, but player tracking data is here to help
• [stat.AP]Efficient Estimation of the Left Tail of Bimodal Distributions with Applications to Underwater Optical Communication Systems
• [stat.AP]Examining effects of green revolution led agricultural expansion on net ecosystem service values in India using multiple valuation approaches
• [stat.AP]Topological Data Analysis (TDA) for Time Series
• [stat.AP]Tuning parameter calibration for prediction in personalized medicine
• [stat.ME]A Bayesian Approach to Directed Acyclic Graphs with a Candidate Graph
• [stat.ME]Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
• [stat.ME]Estimating Number of Factors by Adjusted Eigenvalues Thresholding
• [stat.ME]High-dimensional clustering via Random Projections
• [stat.ME]Intensity Estimation for Poisson Process with Compositional Noise
• [stat.ME]On Variable Screening in Multiple Nonparametric Regression Model
• [stat.ME]Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
• [stat.ME]Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates
• [stat.ML]A Theory of Uncertainty Variables for State Estimation and Inference
• [stat.ML]Kalman Filtering with Gaussian Processes Measurement Noise
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• [cond-mat.stat-mech]Entropy from Machine Learning
Romuald A. Janik
http://arxiv.org/abs/1909.10831v1
• [cs.AI]Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
Shiwali Mohan, Hesham Rakha, Matthew Klenk
http://arxiv.org/abs/1909.10614v1
• [cs.AI]Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant
http://arxiv.org/abs/1909.10622v1
• [cs.AI]Data Interpretation Support in Rescue Operations: Application for French Firefighters
Samer Chehade, Nada Matta, Jean-Baptiste Pothin, Rémi Cogranne
http://arxiv.org/abs/1909.10941v1
• [cs.AI]Demystifying active inference
Noor Sajid, Philip J. Ball, Karl J. Friston
http://arxiv.org/abs/1909.10863v1
• [cs.AI]Inducing Hypernym Relationships Based On Order Theory
Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia
http://arxiv.org/abs/1909.10572v1
• [cs.AI]Interpretable Models of Human Interaction in Immersive Simulation Settings
Nicholas Hoernle, Kobi Gal, Barbara Grosz, Leilah Lyons, Ada Ren, Andee Rubin
http://arxiv.org/abs/1909.11025v1
• [cs.AI]Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
Heather Riley, Mohan Sridharan
http://arxiv.org/abs/1909.10650v1
• [cs.AI]On Weighted Envy-Freeness in Indivisible Item Allocation
Mithun Chakraborty, Warut Suksompong, Yair Zick
http://arxiv.org/abs/1909.10502v2
• [cs.AI]Talk2Car: Taking Control of Your Self-Driving Car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens
http://arxiv.org/abs/1909.10838v1
• [cs.CL]An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
http://arxiv.org/abs/1909.10743v1
• [cs.CL]Application of Fuzzy Clustering for Text Data Dimensionality Reduction
Amir Karami
http://arxiv.org/abs/1909.10881v1
• [cs.CL]Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
Ronald Denaux, Jose Manuel Gomez-Perez
http://arxiv.org/abs/1909.11042v1
• [cs.CL]Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
Injy Hamed, Moritz Zhu, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu
http://arxiv.org/abs/1909.10892v1
• [cs.CL]Cross-Lingual Natural Language Generation via Pre-Training
Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, Heyan Huang
http://arxiv.org/abs/1909.10481v2
• [cs.CL]Data Ordering Patterns for Neural Machine Translation: An Empirical Study
Siddhant Garg
http://arxiv.org/abs/1909.10642v1
• [cs.CL]Deep Text Mining of Instagram Data Without Strong Supervision
Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin
http://arxiv.org/abs/1909.10812v1
• [cs.CL]Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning
http://arxiv.org/abs/1909.10705v1
• [cs.CL]In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
Lei Li, Wei Liu, Marina Litvak, Natalia Vanetik, Zuying Huang
http://arxiv.org/abs/1909.10852v1
• [cs.CL]Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong, Di Wang, Chunyan Miao
http://arxiv.org/abs/1909.10681v1
• [cs.CL]Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig
http://arxiv.org/abs/1909.10911v1
• [cs.CL]Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
Chao-Wei Huang, Yun-Nung Chen
http://arxiv.org/abs/1909.10861v1
• [cs.CL]LitGen: Genetic Literature Recommendation Guided by Human Explanations
Allen Nie, Arturo L. Pineda, Matt W. Wright Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou
http://arxiv.org/abs/1909.10699v1
• [cs.CL]Multi-stage Pretraining for Abstractive Summarization
Sebastian Goodman, Zhenzhong Lan, Radu Soricut
http://arxiv.org/abs/1909.10599v1
• [cs.CL]Neural Generative Rhetorical Structure Parsing
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos
http://arxiv.org/abs/1909.11049v1
• [cs.CL]Paying Attention to Function Words
Shane Steinert-Threlkeld
http://arxiv.org/abs/1909.11060v1
• [cs.CL]Portuguese Named Entity Recognition using BERT-CRF
Fábio Souza, Rodrigo Nogueira, Roberto Lotufo
http://arxiv.org/abs/1909.10649v1
• [cs.CL]Situating Sentence Embedders with Nearest Neighbor Overlap
Lucy H. Lin, Noah A. Smith
http://arxiv.org/abs/1909.10724v1
• [cs.CL]Technical report on Conversational Question Answering
Ying Ju, Fubang Zhao, Shijie Chen, Bowen Zheng, Xuefeng Yang, Yunfeng Liu
http://arxiv.org/abs/1909.10772v1
• [cs.CL]TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu
http://arxiv.org/abs/1909.10351v2
• [cs.CL]Transfer Learning across Languages from Someone Else’s NMT Model
Tom Kocmi, Ondřej Bojar
http://arxiv.org/abs/1909.10955v1
• [cs.CL]TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
Wentao Ma, Yiming Cui, Nan Shao, Su He, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu
http://arxiv.org/abs/1909.10666v1
• [cs.CL]Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad, Marten van Schijndel, Tal Linzen
http://arxiv.org/abs/1909.10579v1
• [cs.CR]MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples
Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong
http://arxiv.org/abs/1909.10594v1
• [cs.CR]Suspicious Transactions in Smart Spaces
Mayra Samaniego, Cristian Espana, Ralph Deters
http://arxiv.org/abs/1909.10644v1
• [cs.CR]Towards the Uses of Blockchain in Mobile Health Services and Applications: A Survey
João Amaral Santos, Pedro R. M. Inácio, Bruno M. Silva
http://arxiv.org/abs/1909.11013v1
• [cs.CV]A System-Level Solution for Low-Power Object Detection
Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
http://arxiv.org/abs/1909.10964v1
• [cs.CV]Augmented Memory for Correlation Filters in Real-Time UAV Tracking
Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Jia Pan
http://arxiv.org/abs/1909.10989v1
• [cs.CV]COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
http://arxiv.org/abs/1909.11048v1
• [cs.CV]Deep Convolutions for In-Depth Automated Rock Typing
E. E. Baraboshkin, L. S. Ismailova, D. M. Orlov, E. A. Zhukovskaya, G. A. Kalmykov, O. V. Khotylev, E. Yu. Baraboshkin, D. A. Koroteev
http://arxiv.org/abs/1909.10227v2
• [cs.CV]Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees
Philippe Borianne, Frederic Borne, Julien Sarron, Emile Faye
http://arxiv.org/abs/1909.10939v1
• [cs.CV]Direct training based spiking convolutional neural networks for object recognition
Shibo Zhou, Ying Chen, Qiang Ye, Jiangxi Li
http://arxiv.org/abs/1909.10837v1
• [cs.CV]Distortion Estimation Through Explicit Modeling of the Refractive Surface
Szabolcs Pável, Csanád Sándor, Lehel Csató
http://arxiv.org/abs/1909.10820v1
• [cs.CV]Enhancing Traffic Scene Predictions with Generative Adversarial Networks
Peter König, Sandra Aigner, Marco Körner
http://arxiv.org/abs/1909.10833v1
• [cs.CV]FEED: Feature-level Ensemble for Knowledge Distillation
SeongUk Park, Nojun Kwak
http://arxiv.org/abs/1909.10754v1
• [cs.CV]Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms
Min-Kook Choi, Jaehyung Park, Heechul Jung, Jinhee Lee, Soo-Heang Eo
http://arxiv.org/abs/1909.10798v1
• [cs.CV]IR-Net: Forward and Backward Information Retention for Highly Accurate Binary Neural Networks
Haotong Qin, Ruihao Gong, Xianglong Liu, Ziran Wei, Fengwei Yu, Jingkuan Song
http://arxiv.org/abs/1909.10788v1
• [cs.CV]Image Recognition using Region Creep
Kieran Greer
http://arxiv.org/abs/1909.10811v1
• [cs.CV]Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
http://arxiv.org/abs/1909.11081v1
• [cs.CV]Learning deep representations for video-based intake gesture detection
Philipp V. Rouast, Marc T. P. Adam
http://arxiv.org/abs/1909.10695v1
• [cs.CV]Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert, Julia A. Schnabel
http://arxiv.org/abs/1909.10391v2
• [cs.CV]Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
Chenchen Zhao, Yeqiang Qian, Ming Yang
http://arxiv.org/abs/1909.10970v1
• [cs.CV]Multi-Person 3D Human Pose Estimation from Monocular Images
Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain
http://arxiv.org/abs/1909.10854v1
• [cs.CV]Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan, Xilin Chen, Jingdong Wang
http://arxiv.org/abs/1909.11065v1
• [cs.CV]On the Convergence of ADMM with Task Adaption and Beyond
Risheng Liu, Pan Mu, Jin Zhang
http://arxiv.org/abs/1909.10819v1
• [cs.CV]PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
Xiao Dongling, Liu Chang
http://arxiv.org/abs/1909.10783v1
• [cs.CV]Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
http://arxiv.org/abs/1909.11023v1
• [cs.CV]Relational Learning for Joint Head and Human Detection
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou
http://arxiv.org/abs/1909.10674v1
• [cs.CV]Restyling Data: Application to Unsupervised Domain Adaptation
Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras
http://arxiv.org/abs/1909.10900v1
• [cs.CV]Single Camera Training for Person Re-identification
Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian
http://arxiv.org/abs/1909.10848v1
• [cs.CV]Synthetic dataset generation for object-to-model deep learning in industrial applications
Matthew Z. Wong, Kiyohito Kunii, Max Baylis, Wai Hong Ong, Pavel Kroupa, Swen Koller
http://arxiv.org/abs/1909.10976v1
• [cs.CV]Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
http://arxiv.org/abs/1909.11059v1
• [cs.DB]A Rule-Based Relational XML Access Control Model in the Presence of Authorization Conflicts
Ali Alwehaibi, Mustafa Atay
http://arxiv.org/abs/1909.11057v1
• [cs.DC]A high-level characterisation and generalisation of communication-avoiding programming techniques
Tobias Weinzierl
http://arxiv.org/abs/1909.10853v1
• [cs.DC]Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics
Matteo Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti
http://arxiv.org/abs/1909.10389v2
• [cs.DC]Microchain: A Hybrid Consensus Mechanism for Lightweight Distributed Ledger for IoT
Ronghua Xu, Yu Chen, Erik Blasch, Genshe Chen
http://arxiv.org/abs/1909.10948v1
• [cs.DC]Process migration-based computational offloading framework for IoT-supported mobile edge/cloud computing
Abdullah Yousafzai, Ibrar Yaqoob, Muhammad Imran, Abdullah Gani, Rafidah Md Noor
http://arxiv.org/abs/1909.11058v1
• [cs.DL]Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System
Daniel Hienert, Dagmar Kern
http://arxiv.org/abs/1909.10736v1
• [cs.DS]Analysis of a Model for Generating Weakly Scale-free Networks
Raheel Anwar, Muhammad Irfan Yousuf, Muhammad Abid
http://arxiv.org/abs/1909.10719v1
• [cs.DS]Optimal Learning of Joint Alignments with a Faulty Oracle
Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis
http://arxiv.org/abs/1909.09912v1
• [cs.DS]The space complexity of inner product filters
Rasmus Pagh, Johan Sivertsen
http://arxiv.org/abs/1909.10766v1
• [cs.GT]It’s Not Whom You Know, It’s What You (or Your Friends) Can Do: Succint Coalitional Frameworks for Network Centralities
Gabriel Istrate, Cosmin Bonchis, Claudiu Gatina
http://arxiv.org/abs/1909.11084v1
• [cs.HC]Oldie is Goodie: Effective User Retention by In-game Promotion Event Analysis
Kyoung Ho Kim, Huy Kang Kim
http://arxiv.org/abs/1909.10851v1
• [cs.HC]Visualization and Travel Time Extraction System for the Statistics of TDCS Travel using MapReduce Framework
Eko Prasetyo, Prayitno, Jing-Doo Wang, Karisma Trinanda Putra
http://arxiv.org/abs/1909.10513v1
• [cs.IR]Improving Collaborative Metric Learning with Efficient Negative Sampling
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
http://arxiv.org/abs/1909.10912v1
• [cs.IT]Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
Saeed Afrasiabi-Gorgani, Gerhard Wunder
http://arxiv.org/abs/1909.10639v1
• [cs.IT]Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
http://arxiv.org/abs/1909.10730v1
• [cs.IT]Error Decoding of Locally Repairable and Partial MDS Codes
Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh
http://arxiv.org/abs/1909.10553v1
• [cs.IT]Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint
Vaibhav Kumar, Barry Cardiff, Mark. F. Flanagan
http://arxiv.org/abs/1909.10920v1
• [cs.IT]Optimally Resilient Codes for List-Decoding from Insertions and Deletions
Venkatesan Guruswami, Bernhard Haeupler, Amirbehshad Shahrasbi
http://arxiv.org/abs/1909.10683v1
• [cs.IT]Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
Khai Nguyen Doan, Mojtaba Vaezi, Wonjae Shin, H. Vincent Poor, Hyundong Shin, Tony Q. S. Quek
http://arxiv.org/abs/1909.11074v1
• [cs.LG]A Neural Network Based Method to Solve Boundary Value Problems
Sethu Hareesh Kolluru
http://arxiv.org/abs/1909.11082v1
• [cs.LG]AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li
http://arxiv.org/abs/1909.10562v1
• [cs.LG]Compiler-Level Matrix Multiplication Optimization for Deep Learning
Huaqing Zhang, Xiaolin Cheng, Hui Zang, Dae Hoon Park
http://arxiv.org/abs/1909.10616v1
• [cs.LG]Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Florian Scheidegger, Luca Benini, Costas Bekas, Cristiano Malossi
http://arxiv.org/abs/1909.10818v1
• [cs.LG]Dimension Estimation Using Autoencoders
Nitish Bahadur, Randy Paffenroth
http://arxiv.org/abs/1909.10702v1
• [cs.LG]Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi
http://arxiv.org/abs/1909.10660v1
• [cs.LG]Gap Aware Mitigation of Gradient Staleness
Saar Barkai, Ido Hakimi, Assaf Schuster
http://arxiv.org/abs/1909.10802v1
• [cs.LG]Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
Lingchen Zhu, Tuanfeng Zhang
http://arxiv.org/abs/1909.10652v1
• [cs.LG]HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Jinkyu Koo, Michael Roth, Saurabh Bagchi
http://arxiv.org/abs/1909.09938v1
• [cs.LG]IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang, Senior Member, IEEE
http://arxiv.org/abs/1909.10856v1
• [cs.LG]Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Zhi Zhang, Jiachen Yang, Hongyuan Zha
http://arxiv.org/abs/1909.10651v1
• [cs.LG]Jointly Learning to Detect Emotions and Predict Facebook Reactions
Lisa Graziani, Stefano Melacci, Marco Gori
http://arxiv.org/abs/1909.10779v1
• [cs.LG]Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning
Gregory Farquhar, Shimon Whiteson, Jakob Foerster
http://arxiv.org/abs/1909.10549v1
• [cs.LG]Monotonic Trends in Deep Neural Networks
Akhil Gupta, Naman Shukla, Lavanya Marla, Arinbjörn Kolbeinsson
http://arxiv.org/abs/1909.10662v1
• [cs.LG]PAC Reinforcement Learning without Real-World Feedback
Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott
http://arxiv.org/abs/1909.10449v2
• [cs.LG]Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf
http://arxiv.org/abs/1909.10893v1
• [cs.LG]Reservoir Topology in Deep Echo State Networks
Claudio Gallicchio, Alessio Micheli
http://arxiv.org/abs/1909.11022v1
• [cs.LG]Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng, Simranjit Singh, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
http://arxiv.org/abs/1909.10773v1
• [cs.LG]Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding
http://arxiv.org/abs/1909.10670v1
• [cs.LG]Understanding and Improving One-shot Neural Architecture Optimization
Renqian Luo, Tao Qin, Enhong Chen
http://arxiv.org/abs/1909.10815v1
• [cs.LG]WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Michael Poli, Jinkyoo Park, Ilija Ilievski
http://arxiv.org/abs/1909.10801v1
• [cs.LG]Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine
http://arxiv.org/abs/1909.10618v1
• [cs.LG]dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
Jo Schlemper, Ilkay Oksuz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
http://arxiv.org/abs/1909.10995v1
• [cs.LO]Learning definable hypotheses on trees
Emilie Grienenberger, Martin Ritzert
http://arxiv.org/abs/1909.10994v1
• [cs.NI]Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
Rahif Kassab, Osvaldo Simeone, Andrea Munari, Federico Clazzer
http://arxiv.org/abs/1909.10283v2
• [cs.RO]Building a Library of Tactile Skills Based on FingerVision
Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek, Filipe Veiga, Oliver Tessmann, Jan Peters
http://arxiv.org/abs/1909.09669v1
• [cs.RO]Continuous Collision Detection for a Robotic Arm Mounted on a Cable-Driven Parallel Robot
Diane Bury, Jean-Baptiste Izard, Marc Gouttefarde, Florent Lamiraux
http://arxiv.org/abs/1909.10857v1
• [cs.RO]Controlling Assistive Robots with Learned Latent Actions
Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh
http://arxiv.org/abs/1909.09674v1
• [cs.RO]Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
http://arxiv.org/abs/1909.10704v1
• [cs.RO]Invariant Transform Experience Replay
Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
http://arxiv.org/abs/1909.10707v1
• [cs.RO]Mine Tunnel Exploration using Multiple Quadrupedal Robots
Ian D. Miller, Fernando Cladera, Anthony Cowley, Shreyas S. Shivakumar, Elijah S. Lee, Laura Jarin-Lipschitz, Akhilesh Bhat, Neil Rodrigues, Alex Zhou, Avraham Cohen, Adarsh Kulkarni, James Laney, Camillo Jose Taylor, Vijay Kumar
http://arxiv.org/abs/1909.09662v1
• [cs.RO]Multi-agent Interactive Prediction under Challenging Driving Scenarios
Weihao Xuan, Ruijie Ren, Yeping Hu
http://arxiv.org/abs/1909.10737v1
• [cs.RO]Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf
http://arxiv.org/abs/1909.10972v1
• [cs.RO]Software architecture for YOLO, a creativity-stimulating robot
Patrícia Alves-Oliveira, Samuel Gomes, Ankita Chandak, Patrícia Arriaga, Guy Hoffman, Ana Paiva
http://arxiv.org/abs/1909.10823v1
• [cs.RO]Tethered Tool Manipulation Planning with Cable Maneuvering
Daniel Sanchez, Weiwei Wan, Kensuke Harada
http://arxiv.org/abs/1909.10686v1
• [cs.RO]The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera
Hongxuan Ma, Wei Zou, Zheng Zhu, Siyang Sun, Zhaobing Kang
http://arxiv.org/abs/1909.10682v1
• [cs.RO]Towards S-NAMO: Socially-aware Navigation Among Movable Obstacles
Benoit Renault, Jacques Saraydaryan, Olivier Simonin
http://arxiv.org/abs/1909.10809v1
• [cs.RO]Upper Body Pose Estimation Using Wearable Inertial Sensors and Multiplicative Kalman Filter
Tommaso Lisini Baldi, Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Domenico Prattichizzo
http://arxiv.org/abs/1909.10376v2
• [cs.SE]An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications
Alexandre Vianna, Waldemar Ferreira, Kiev Gama
http://arxiv.org/abs/1909.11069v1
• [cs.SI]Temporal effects of Unmoderated Hate speech in Gab
Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee
http://arxiv.org/abs/1909.10966v1
• [eess.AS]Understanding Semantics from Speech Through Pre-training
Pengwei Wang, Liangchen Wei, Yong Cao, Jinghui Xie, Yuji Cao, Zaiqing Nie
http://arxiv.org/abs/1909.10924v1
• [eess.IV]Analysis of Generalized Entropies in Mutual Information Medical Image Registration
Vinicius Pavanelli Vianna, Luiz Otavio Murta Junior
http://arxiv.org/abs/1909.10690v1
• [eess.IV]Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning
Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizabal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
http://arxiv.org/abs/1909.10555v1
• [eess.IV]Automatic techniques for cochlear implant CT image analysis
Yiyuan Zhao
http://arxiv.org/abs/1909.10922v1
• [eess.IV]LISR: Image Super-resolution under Hardware Constraints
Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi
http://arxiv.org/abs/1909.10136v1
• [eess.IV]Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architecture
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, René Werner, Thomas Rösch
http://arxiv.org/abs/1909.10726v1
• [eess.IV]Offline identification of surgical deviations in laparoscopic rectopexy
Arnaud Huaulmé, Sandrine Voros, Fabian Reche, Jean-Luc Faucheron, Alexandre Moreau-Gaudry, Pierre Jannin
http://arxiv.org/abs/1909.10790v1
• [eess.IV]s-LWSR: Super Lightweight Super-Resolution Network
Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi
http://arxiv.org/abs/1909.10774v1
• [eess.SP]Phase Retrieval via Smooth Amplitude Flow
Q. Luo, H. Wang
http://arxiv.org/abs/1909.10685v1
• [eess.SP]Sensor-Augmented Neural Adaptive Bitrate Video Streaming on UAVs
Xuedou Xiao, Wei Wang, Taobin Chen, Yang Cao, Tao Jiang, Qian Zhang
http://arxiv.org/abs/1909.10914v1
• [eess.SP]Wavelet invariants for statistically robust multi-reference alignment
Matthew Hirn, Anna Little
http://arxiv.org/abs/1909.11062v1
• [eess.SY]Informative Planning of Mobile Sensor Networks in GPS-Denied Environments
Youngjae Min, Soon-Seo Park, Han-Lim Choi
http://arxiv.org/abs/1909.11046v1
• [hep-ph]Towards hardware acceleration for parton densities estimation
Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari, Emilio Villa
http://arxiv.org/abs/1909.10547v1
• [math.DS]Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Stefan Klus, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, Christof Schütte
http://arxiv.org/abs/1909.10638v1
• [math.NA]Numerical evaluation of the transition probability of the simple birth-and-death process
Alberto Pessia, Jing Tang
http://arxiv.org/abs/1909.10765v1
• [math.OC]Faster saddle-point optimization for solving large-scale Markov decision processes
Joan Bas-Serrano, Gergely Neu
http://arxiv.org/abs/1909.10904v1
• [math.ST]Double-estimation-friendly inference for high-dimensional misspecified models
Rajen D. Shah, Peter Bühlmann
http://arxiv.org/abs/1909.10828v1
• [math.ST]High-probability bounds for the reconstruction error of PCA
Cassandra Uebel, Martin Wahl
http://arxiv.org/abs/1909.10787v1
• [math.ST]The Trimmed Mean in Non-parametric Regression Function Estimation
Subhra Sankar Dhar, Prashant Jha, Prabrisha Rakhshit
http://arxiv.org/abs/1909.10734v1
• [math.ST]The column measure and Gradient-Free Gradient Boosting
Tino Werner, Peter Ruckdeschel
http://arxiv.org/abs/1909.10960v1
• [physics.comp-ph]Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
Mohammad Javad Eslamibidgoli, Mehrdad Mokhtari, Michael H. Eikerling
http://arxiv.org/abs/1909.10124v2
• [physics.soc-ph]A data-driven model for Mass Media influence in electoral context
Federico Albanese, Claudio J. Tessone, Viktoriya Semeshenko, Pablo Balenzuela
http://arxiv.org/abs/1909.10554v1
• [physics.soc-ph]Bipartite networks describe R&D collaboration between institutions
D. Vasques Filho, Dion R. J. O’Neale
http://arxiv.org/abs/1909.10977v1
• [q-fin.ST]Implied volatility surface predictability: the case of commodity markets
Fearghal Kearney, Han Lin Shang, Lisa Sheenan
http://arxiv.org/abs/1909.11009v1
• [q-fin.ST]Structural Change Analysis of Active Cryptocurrency Market
C. Y. Tan, Y. B. Koh, K. H. Ng, K. H. Ng
http://arxiv.org/abs/1909.10679v1
• [quant-ph]Quantum Inflation: A General Approach to Quantum Causal Compatibility
Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascues
http://arxiv.org/abs/1909.10519v1
• [stat.AP]Analyzing the National Football League is challenging, but player tracking data is here to help
Michael J. Lopez
http://arxiv.org/abs/1909.10631v1
• [stat.AP]Efficient Estimation of the Left Tail of Bimodal Distributions with Applications to Underwater Optical Communication Systems
Chaouki ben Issaid, Mohamed-Slim Alouini
http://arxiv.org/abs/1909.11016v1
• [stat.AP]Examining effects of green revolution led agricultural expansion on net ecosystem service values in India using multiple valuation approaches
Srikanta Sannigrahi, Suman Chakraborti, Pawan Kumar Joshi, Saskia Keesstra, P. S. Roy, Paul. C. Sutton, Urs Kreuter, Saikat Kumar Paul, Somnath Sen, Sandeep Bhatt, Shahid Rahmat, Shouvik Jha, Qi Zhang, Laishram Kanta Singh
http://arxiv.org/abs/1909.10742v1
• [stat.AP]Topological Data Analysis (TDA) for Time Series
Nalini Ravishanker, Renjie Chen
http://arxiv.org/abs/1909.10604v1
• [stat.AP]Tuning parameter calibration for prediction in personalized medicine
Shih-Ting Huang, Yannick Düren, Kristoffer H. Hellton, Johannes Lederer
http://arxiv.org/abs/1909.10635v1
• [stat.ME]A Bayesian Approach to Directed Acyclic Graphs with a Candidate Graph
Evan A Martin, Audrey Qiuyan Fu
http://arxiv.org/abs/1909.10678v1
• [stat.ME]Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
Nathanaël Randriamihamison, Nathalie Vialaneix, Pierre Neuvial
http://arxiv.org/abs/1909.10923v1
• [stat.ME]Estimating Number of Factors by Adjusted Eigenvalues Thresholding
Jianqing Fan, Jianhua Guo, Shurong Zheng
http://arxiv.org/abs/1909.10710v1
• [stat.ME]High-dimensional clustering via Random Projections
Laura Anderlucci, Francesca Fortunato, Angela Montanari
http://arxiv.org/abs/1909.10832v1
• [stat.ME]Intensity Estimation for Poisson Process with Compositional Noise
Glenna Schluck, Wei Wu, Anuj Srivastava
http://arxiv.org/abs/1909.10653v1
• [stat.ME]On Variable Screening in Multiple Nonparametric Regression Model
Subhra Sankar Dhar, Prashant Jha, Aranyak Acharyya
http://arxiv.org/abs/1909.10739v1
• [stat.ME]Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Peng Zheng, Aleksandr Y. Aravkin, Ryan Barber, Reed J. D. Sorensen, Christopher J. L. Murray
http://arxiv.org/abs/1909.10700v1
• [stat.ME]Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates
Li-Pang Chen
http://arxiv.org/abs/1909.10655v1
• [stat.ML]A Theory of Uncertainty Variables for State Estimation and Inference
Rajat Talak, Sertac Karaman, Eytan Modiano
http://arxiv.org/abs/1909.10673v1
• [stat.ML]Kalman Filtering with Gaussian Processes Measurement Noise
Vince Kurtz, Hai Lin
http://arxiv.org/abs/1909.10582v1