astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
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.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
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.ST - 统计理论
physics.flu-dyn - 流体动力学
q-bio.GN - 基因组学
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
stat.OT - 其他统计学
• [astro-ph.IM]Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
• [cs.AI]A Graph-based Imputation Method for Sparse Medical Records
• [cs.AI]Acquisition of Chess Knowledge in AlphaZero
• [cs.AI]Compressive Features in Offline Reinforcement Learning for Recommender Systems
• [cs.AI]Exploring Student Representation For Neural Cognitive Diagnosis
• [cs.AI]Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
• [cs.AI]The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions
• [cs.AR]GNN-DSE: Automated Accelerator Optimization Aided by Graph Neural Networks
• [cs.CL]Achieving Human Parity on Visual Question Answering
• [cs.CL]Character Transformations for Non-Autoregressive GEC Tagging
• [cs.CL]DataCLUE: A Benchmark Suite for Data-centric NLP
• [cs.CL]Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
• [cs.CL]Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
• [cs.CL]Multi-Attribute Relation Extraction (MARE) — Simplifying the Application of Relation Extraction
• [cs.CL]Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
• [cs.CL]Transparent Human Evaluation for Image Captioning
• [cs.CL]User Response and Sentiment Prediction for Automatic Dialogue Evaluation
• [cs.CL]Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
• [cs.CL]Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
• [cs.CL]XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
• [cs.CV]2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track
• [cs.CV]A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
• [cs.CV]ARKitScenes — A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
• [cs.CV]Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
• [cs.CV]Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
• [cs.CV]Compositional Transformers for Scene Generation
• [cs.CV]Computer Vision for Supporting Image Search
• [cs.CV]Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
• [cs.CV]DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus
• [cs.CV]Detecting AutoAttack Perturbations in the Frequency Domain
• [cs.CV]Discriminative Dictionary Learning based on Statistical Methods
• [cs.CV]DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
• [cs.CV]EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
• [cs.CV]Enhanced Correlation Matching based Video Frame Interpolation
• [cs.CV]Facial Information Analysis Technology for Gender and Age Estimation
• [cs.CV]Fight Detection from Still Images in the Wild
• [cs.CV]Film Trailer Generation via Task Decomposition
• [cs.CV]Generating Unrestricted 3D Adversarial Point Clouds
• [cs.CV]HARA: A Hierarchical Approach for Robust Rotation Averaging
• [cs.CV]Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
• [cs.CV]Improving Person Re-Identification with Temporal Constraints
• [cs.CV]Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
• [cs.CV]IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
• [cs.CV]It’s About Time: Analog Clock Reading in the Wild
• [cs.CV]Learning Scene Dynamics from Point Cloud Sequences
• [cs.CV]Learning to Align Sequential Actions in the Wild
• [cs.CV]Learning to Compose Visual Relations
• [cs.CV]Local Texture Estimator for Implicit Representation Function
• [cs.CV]Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
• [cs.CV]Motion Detection using CSI from Raspberry Pi 4
• [cs.CV]Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
• [cs.CV]Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
• [cs.CV]Pedestrian Detection by Exemplar-Guided Contrastive Learning
• [cs.CV]Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
• [cs.CV]Protection of SVM Model with Secret Key from Unauthorized Access
• [cs.CV]Quality Measures in Biometric Systems
• [cs.CV]Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
• [cs.CV]SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
• [cs.CV]STEEX: Steering Counterfactual Explanations with Semantics
• [cs.CV]SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
• [cs.CV]Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
• [cs.CV]Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
• [cs.CV]TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
• [cs.CV]The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
• [cs.CV]TorchGeo: deep learning with geospatial data
• [cs.CV]TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
• [cs.CV]Two-Face: Adversarial Audit of Commercial Face Recognition Systems
• [cs.CV]Using Convolutional Neural Networks to Detect Compression Algorithms
• [cs.CY]Measuring Geometric Similarity Across Possible Plans for Automated Redistricting
• [cs.CY]PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
• [cs.DB]GAP Enhancing Semantic Interoperability of Genomic Datasets and Provenance Through Nanopublications
• [cs.DC]Accelerating JPEG Decompression on GPUs
• [cs.DC]An energy-efficient scheduling algorithm for shared facility supercomputer centers
• [cs.DC]On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
• [cs.DC]Project CGX: Scalable Deep Learning on Commodity GPUs
• [cs.GR]LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
• [cs.GT]Preference Communication in Multi-Objective Normal-Form Games
• [cs.IR]NLP based grievance redressal system for Indian Railways
• [cs.IT]Achievable Rate of Near-Field Communications Based on Physically Consistent Models
• [cs.IT]Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping
• [cs.IT]Channel Modeling for Multi-Receiver Molecular Communication Systems
• [cs.IT]Error Coefficient-improved Polar/PAC Codes
• [cs.IT]Private Information Schemes Using Cyclic Codes
• [cs.IT]Six Critical Challenges for 6G Wireless Systems
• [cs.LG]A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
• [cs.LG]A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
• [cs.LG]Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
• [cs.LG]Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
• [cs.LG]Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
• [cs.LG]CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
• [cs.LG]Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
• [cs.LG]Differentially Private Federated Learning on Heterogeneous Data
• [cs.LG]Do Not Trust Prediction Scores for Membership Inference Attacks
• [cs.LG]Exploring Unsupervised Learning Methods for Automated Protocol Analysis
• [cs.LG]FAIRLEARN:Configurable and Interpretable Algorithmic Fairness
• [cs.LG]Fairness Testing of Deep Image Classification with Adequacy Metrics
• [cs.LG]Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
• [cs.LG]Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
• [cs.LG]Fast Yet Effective Machine Unlearning
• [cs.LG]Federated Learning for Smart Healthcare: A Survey
• [cs.LG]Forecasting Crude Oil Price Using Event Extraction
• [cs.LG]GFlowNet Foundations
• [cs.LG]GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
• [cs.LG]HiRID-ICU-Benchmark — A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
• [cs.LG]IV-GNN : Interval Valued Data Handling Using Graph Neural Network
• [cs.LG]Interpretable Models via Pairwise permutations algorithm
• [cs.LG]Investigating Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Latent Space Manipulation
• [cs.LG]Label efficient two-sample test
• [cs.LG]Network Generation with Differential Privacy
• [cs.LG]ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\
• [cs.LG]Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
• [cs.LG]Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification
• [cs.LG]PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
• [cs.LG]Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
• [cs.LG]SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
• [cs.LG]SMACE: A New Method for the Interpretability of Composite Decision Systems
• [cs.LG]Secure Federated Learning for Residential Short Term Load Forecasting
• [cs.LG]Self-Learning Tuning for Post-Silicon Validation
• [cs.LG]Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
• [cs.LG]SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
• [cs.LG]Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
• [cs.LG]Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
• [cs.LG]Trustworthy Long-Tailed Classification
• [cs.LG]Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
• [cs.LG]Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
• [cs.MA]Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms
• [cs.NE]A Case Study of Vehicle Route Optimization
• [cs.NE]A Normative and Biologically Plausible Algorithm for Independent Component Analysis
• [cs.NE]How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
• [cs.NI]CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds
• [cs.NI]Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
• [cs.RO]Adaptive Lookahead Pure-Pursuit for Autonomous Racing
• [cs.RO]Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System
• [cs.RO]Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines
• [cs.RO]DA-LMR: A Robust Lane Markings Representation for Data Association Methods
• [cs.RO]IKFlow: Generating Diverse Inverse Kinematics Solutions
• [cs.RO]Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control
• [cs.RO]Learning Provably Robust Motion Planners Using Funnel Libraries
• [cs.RO]Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning
• [cs.RO]Obstacle Crossing by Multi-mobile Robots in Object Transportation with Deformable Sheet
• [cs.RO]On the modification of the SPARUS II AUV for close range imaging survey platform
• [cs.RO]Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming
• [cs.RO]Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data
• [cs.RO]The Unified Mathematical Framework for IMU Preintegration in Inertial-Aided Navigation System
• [cs.RO]Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
• [cs.RO]Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera
• [cs.SD]Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
• [cs.SD]High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
• [cs.SD]Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
• [cs.SD]Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson’s Speech Data
• [cs.SI]Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery
• [cs.SI]Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic
• [eess.IV]Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
• [eess.IV]Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study
• [eess.IV]CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
• [eess.IV]End-to-end optimized image compression with competition of prior distributions
• [eess.IV]Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation
• [eess.IV]Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
• [eess.IV]Image Super-Resolution Using T-Tetromino Pixels
• [eess.IV]Segmentation of Lung Tumor from CT Images using Deep Supervision
• [eess.IV]Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
• [eess.IV]Two-step adversarial debiasing with partial learning — medical image case-studies
• [eess.SP]A Generalized Proportionate-Type Normalized Subband Adaptive Filter
• [math.ST]On Adaptive Confidence Sets for the Wasserstein Distances
• [physics.flu-dyn]Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
• [q-bio.GN]Interpreting multi-variate models with setPCA
• [q-bio.QM]Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
• [q-fin.ST]Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
• [quant-ph]Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
• [stat.AP]Identifying the Factors that Influence Urban Public Transit Demand
• [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets
• [stat.AP]Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation
• [stat.AP]Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data
• [stat.AP]Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach
• [stat.AP]The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018
• [stat.ME]A Note on Simulation-Based Inference by Matching Random Features
• [stat.ME]Jump Interval-Learning for Individualized Decision Making
• [stat.ME]Non-parametric Bayesian Vector Autoregression using Multi-subject Data
• [stat.ME]Practical Guidance on Modeling Choices for the Virtual Twins Method
• [stat.ME]Some Case Studies Using Bayesian Statistical Models
• [stat.ME]Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
• [stat.ML]Distribution Compression in Near-linear Time
• [stat.ML]Max-Min Grouped Bandits
• [stat.ML]Online Estimation and Optimization of Utility-Based Shortfall Risk
• [stat.ML]Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
• [stat.ML]Three approaches to supervised learning for compositional data with pairwise logratios
• [stat.OT]A revision to the theory of organic fiducial inference
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• [astro-ph.IM]Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder
Rune D. Kjærsgaard, Aaron Bello-Arufe, Alexander D. Rathcke, Lars A. Buchhave, Line K. H. Clemmensen
http://arxiv.org/abs/2111.09081v1
• [cs.AI]A Graph-based Imputation Method for Sparse Medical Records
Ramon Vinas, Xu Zheng, Jer Hayes
http://arxiv.org/abs/2111.09084v1
• [cs.AI]Acquisition of Chess Knowledge in AlphaZero
Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
http://arxiv.org/abs/2111.09259v1
• [cs.AI]Compressive Features in Offline Reinforcement Learning for Recommender Systems
Hung Nguyen, Minh Nguyen, Long Pham, Jennifer Adorno Nieves
http://arxiv.org/abs/2111.08817v1
• [cs.AI]Exploring Student Representation For Neural Cognitive Diagnosis
Hengyao Bao, Xihua Li, Xuemin Zhao, Yunbo Cao
http://arxiv.org/abs/2111.08951v1
• [cs.AI]Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application
Yulan Hu, Yong Liu
http://arxiv.org/abs/2111.09078v1
• [cs.AI]The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions
Steve Alpern
http://arxiv.org/abs/2111.09093v1
• [cs.AR]GNN-DSE: Automated Accelerator Optimization Aided by Graph Neural Networks
Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong
http://arxiv.org/abs/2111.08848v1
• [cs.CL]Achieving Human Parity on Visual Question Answering
Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Luo Si
http://arxiv.org/abs/2111.08896v1
• [cs.CL]Character Transformations for Non-Autoregressive GEC Tagging
Milan Straka, Jakub Náplava, Jana Straková
http://arxiv.org/abs/2111.09280v1
• [cs.CL]DataCLUE: A Benchmark Suite for Data-centric NLP
Liang Xu, Jiacheng Liu, Xiang Pan, Xiaojing Lu, Xiaofeng Hou
http://arxiv.org/abs/2111.08647v2
• [cs.CL]Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
Aparajita Dey-Plissonneau, Hyowon Lee, Michael Scriney, Alan F. Smeaton, Vincent Pradier, Hamza Riaz
http://arxiv.org/abs/2111.08788v1
• [cs.CL]Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece
http://arxiv.org/abs/2111.09064v1
• [cs.CL]Multi-Attribute Relation Extraction (MARE) — Simplifying the Application of Relation Extraction
Lars Klöser, Philipp Kohl, Bodo Kraft, Albert Zündorf
http://arxiv.org/abs/2111.09035v1
• [cs.CL]Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida
http://arxiv.org/abs/2111.09029v1
• [cs.CL]Transparent Human Evaluation for Image Captioning
Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
http://arxiv.org/abs/2111.08940v1
• [cs.CL]User Response and Sentiment Prediction for Automatic Dialogue Evaluation
Sarik Ghazarian, Behnam Hedayatnia, Alexandros Papangelis, Yang Liu, Dilek Hakkani-Tur
http://arxiv.org/abs/2111.08808v1
• [cs.CL]Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen
http://arxiv.org/abs/2111.08906v1
• [cs.CL]Who Decides if AI is Fair? The Labels Problem in Algorithmic Auditing
Abhilash Mishra, Yash Gorana
http://arxiv.org/abs/2111.08723v1
• [cs.CL]XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Arun Babu, Changhan Wang, Andros Tjandra, Kushal Lakhotia, Qiantong Xu, Naman Goyal, Kritika Singh, Patrick von Platen, Yatharth Saraf, Juan Pino, Alexei Baevski, Alexis Conneau, Michael Auli
http://arxiv.org/abs/2111.09296v1
• [cs.CV]2nd Place Solution to Facebook AI Image Similarity Challenge Matching Track
SeungKee Jeon
http://arxiv.org/abs/2111.09113v1
• [cs.CV]A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr, Yi Lin, Su-hua Wang, Renée Baillargeon, Cheston Tan
http://arxiv.org/abs/2111.08826v1
• [cs.CV]ARKitScenes — A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
Gilad Baruch, Zhuoyuan Chen, Afshin Dehghan, Tal Dimry, Yuri Feigin, Peter Fu, Thomas Gebauer, Brandon Joffe, Daniel Kurz, Arik Schwartz, Elad Shulman
http://arxiv.org/abs/2111.08897v1
• [cs.CV]Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty, Tingting Huang, Dave Ness, Duane Ritcher, Anuj Sharma
http://arxiv.org/abs/2111.09171v1
• [cs.CV]Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
Norman Poh, Thirimachos Bourlai, Josef Kittler, Lorene Allano, Fernando Alonso-Fernandez, Onkar Ambekar, John Baker, Bernadette Dorizzi, Omolara Fatukasi, Julian Fierrez, Harald Ganster, Javier Ortega-Garcia, Donald Maurer, Albert Ali Salah, Tobias Scheidat, Claus Vielhauer
http://arxiv.org/abs/2111.08703v1
• [cs.CV]Compositional Transformers for Scene Generation
Drew A. Hudson, C. Lawrence Zitnick
http://arxiv.org/abs/2111.08960v1
• [cs.CV]Computer Vision for Supporting Image Search
Alan F. Smeaton
http://arxiv.org/abs/2111.08772v1
• [cs.CV]Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples
Nir Diamant, Nitsan Sandor, Alex M Bronstein
http://arxiv.org/abs/2111.08419v2
• [cs.CV]DeltaConv: Anisotropic Point Cloud Learning with Exterior Calculus
Ruben Wiersma, Ahmad Nasikun, Elmar Eisemann, Klaus Hildebrandt
http://arxiv.org/abs/2111.08799v1
• [cs.CV]Detecting AutoAttack Perturbations in the Frequency Domain
Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
http://arxiv.org/abs/2111.08785v1
• [cs.CV]Discriminative Dictionary Learning based on Statistical Methods
G. Madhuri, Atul Negi
http://arxiv.org/abs/2111.09027v1
• [cs.CV]DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
http://arxiv.org/abs/2111.09267v1
• [cs.CV]EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha
http://arxiv.org/abs/2111.08919v1
• [cs.CV]Enhanced Correlation Matching based Video Frame Interpolation
Sungho Lee, Narae Choi, Woong Il Choi
http://arxiv.org/abs/2111.08869v1
• [cs.CV]Facial Information Analysis Technology for Gender and Age Estimation
Gilheum Park, Sua Jung
http://arxiv.org/abs/2111.09303v1
• [cs.CV]Fight Detection from Still Images in the Wild
Şeymanur Aktı, Ferda Ofli, Muhammad Imran, Hazım Kemal Ekenel
http://arxiv.org/abs/2111.08370v2
• [cs.CV]Film Trailer Generation via Task Decomposition
Pinelopi Papalampidi, Frank Keller, Mirella Lapata
http://arxiv.org/abs/2111.08774v1
• [cs.CV]Generating Unrestricted 3D Adversarial Point Clouds
Xuelong Dai, Yanjie Li, Hua Dai, Bin Xiao
http://arxiv.org/abs/2111.08973v1
• [cs.CV]HARA: A Hierarchical Approach for Robust Rotation Averaging
Seong Hun Lee, Javier Civera
http://arxiv.org/abs/2111.08831v1
• [cs.CV]Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking
Xiao Pan, T. Y. Yang
http://arxiv.org/abs/2111.09117v1
• [cs.CV]Improving Person Re-Identification with Temporal Constraints
Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O’Connor, Kevin McGuinness
http://arxiv.org/abs/2111.09056v1
• [cs.CV]Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval
Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch
http://arxiv.org/abs/2111.09276v1
• [cs.CV]IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
http://arxiv.org/abs/2111.09136v1
• [cs.CV]It’s About Time: Analog Clock Reading in the Wild
Charig Yang, Weidi Xie, Andrew Zisserman
http://arxiv.org/abs/2111.09162v1
• [cs.CV]Learning Scene Dynamics from Point Cloud Sequences
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
http://arxiv.org/abs/2111.08755v1
• [cs.CV]Learning to Align Sequential Actions in the Wild
Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
http://arxiv.org/abs/2111.09301v1
• [cs.CV]Learning to Compose Visual Relations
Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba
http://arxiv.org/abs/2111.09297v1
• [cs.CV]Local Texture Estimator for Implicit Representation Function
Jaewon Lee, Kyong Hwan Jin
http://arxiv.org/abs/2111.08918v1
• [cs.CV]Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge
http://arxiv.org/abs/2111.08913v1
• [cs.CV]Motion Detection using CSI from Raspberry Pi 4
Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare
http://arxiv.org/abs/2111.09091v1
• [cs.CV]Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
Xiaoteng Zhou, Changli Yu, Xin Yuan, Yi Wu, Haijun Feng, Citong Luo
http://arxiv.org/abs/2111.08994v1
• [cs.CV]Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
Myssar Jabbar Hammood Al-Battbootti, Iuliana Marin, Nicolae Goga, Ramona Popa
http://arxiv.org/abs/2111.09155v1
• [cs.CV]Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu
http://arxiv.org/abs/2111.08974v1
• [cs.CV]Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li
http://arxiv.org/abs/2111.09006v1
• [cs.CV]Protection of SVM Model with Secret Key from Unauthorized Access
Ryota Iijima, AprilPyone MaungMaung, Hitoshi Kiya
http://arxiv.org/abs/2111.08927v1
• [cs.CV]Quality Measures in Biometric Systems
Fernando Alonso-Fernandez, Julian Fierrez, Javier Ortega-Garcia
http://arxiv.org/abs/2111.08704v1
• [cs.CV]Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation
William McNally, Kanav Vats, Alexander Wong, John McPhee
http://arxiv.org/abs/2111.08557v2
• [cs.CV]SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
Shen Zheng, Changjie Lu, Yuxiong Wu, Gaurav Gupta
http://arxiv.org/abs/2111.08892v1
• [cs.CV]STEEX: Steering Counterfactual Explanations with Semantics
Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord
http://arxiv.org/abs/2111.09094v1
• [cs.CV]SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Jiaze Sun, Binod Bhattarai, Zhixiang Chen, Tae-Kyun Kim
http://arxiv.org/abs/2111.09298v1
• [cs.CV]Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah
http://arxiv.org/abs/2111.09099v1
• [cs.CV]Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition
Domenick Poster, Nasser Nasrabadi
http://arxiv.org/abs/2111.08738v1
• [cs.CV]TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez, Cuauhtemoc Daniel Suarez-Ramirez
http://arxiv.org/abs/2111.08867v1
• [cs.CV]The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R Freire, Joaquin Gonzalez-Rodriguez, Carmen Garcia-Mateo, Jose-Luis Alba-Castro, Elisardo Gonzalez-Agulla, Enrique Otero-Muras, Sonia Garcia-Salicetti, Lorene Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming NR Ng, Michael Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrezj Drygajlo, Harald Ganster, Federico M Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran
http://arxiv.org/abs/2111.08702v1
• [cs.CV]TorchGeo: deep learning with geospatial data
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
http://arxiv.org/abs/2111.08872v1
• [cs.CV]TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking
Delv Lin, Qi Chen, Chengyu Zhou, Kun He
http://arxiv.org/abs/2111.08954v1
• [cs.CV]Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee
http://arxiv.org/abs/2111.09137v1
• [cs.CV]Using Convolutional Neural Networks to Detect Compression Algorithms
Shubham Bharadwaj
http://arxiv.org/abs/2111.09034v1
• [cs.CY]Measuring Geometric Similarity Across Possible Plans for Automated Redistricting
Gilvir Gill
http://arxiv.org/abs/2111.08889v1
• [cs.CY]PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan, Jane Suiter
http://arxiv.org/abs/2111.08791v1
• [cs.DB]GAP Enhancing Semantic Interoperability of Genomic Datasets and Provenance Through Nanopublications
Matheus Feijoó, Rodrigo Jardim, Sergio Serra, Maria Luiza Campos
http://arxiv.org/abs/2111.08739v1
• [cs.DC]Accelerating JPEG Decompression on GPUs
André Weißenberger, Bertil Schmidt
http://arxiv.org/abs/2111.09219v1
• [cs.DC]An energy-efficient scheduling algorithm for shared facility supercomputer centers
E. A. Kiselev, P. N. Telegin, B. M. Shabanov
http://arxiv.org/abs/2111.08978v1
• [cs.DC]On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen
http://arxiv.org/abs/2111.08759v1
• [cs.DC]Project CGX: Scalable Deep Learning on Commodity GPUs
Ilia Markov, Hamidreza Ramezanikebrya, Dan Alistarh
http://arxiv.org/abs/2111.08617v2
• [cs.GR]LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
http://arxiv.org/abs/2111.08988v1
• [cs.GT]Preference Communication in Multi-Objective Normal-Form Games
Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Rădulescu
http://arxiv.org/abs/2111.09191v1
• [cs.IR]NLP based grievance redressal system for Indian Railways
Mukesh Rawat, Neha Kaushik
http://arxiv.org/abs/2111.08999v1
• [cs.IT]Achievable Rate of Near-Field Communications Based on Physically Consistent Models
Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath
http://arxiv.org/abs/2111.08928v1
• [cs.IT]Achieving Short-Blocklength RCU bound via CRC List Decoding of TCM with Probabilistic Shaping
Linfang Wang, Dan Song, Felipe Areces, Richard D. Wesel
http://arxiv.org/abs/2111.08756v1
• [cs.IT]Channel Modeling for Multi-Receiver Molecular Communication Systems
Gokberk Yaylali, Bayram Cevdet Akdeniz, Tuna Tugcu, Ali Emre Pusane
http://arxiv.org/abs/2111.09302v1
• [cs.IT]Error Coefficient-improved Polar/PAC Codes
Mohammad Rowshan, Son Hoang Dau, Emanuele Viterbo
http://arxiv.org/abs/2111.08843v1
• [cs.IT]Private Information Schemes Using Cyclic Codes
Seyma Bodur, Edgar Martinez-Moro, Diego Ruano
http://arxiv.org/abs/2111.09060v1
• [cs.IT]Six Critical Challenges for 6G Wireless Systems
Harsh Tataria, Mansoor Shafi, Mischa Dohler, Shu Sun
http://arxiv.org/abs/2111.08871v1
• [cs.LG]A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
http://arxiv.org/abs/2111.08900v1
• [cs.LG]A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
http://arxiv.org/abs/2111.09038v1
• [cs.LG]Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya, Rachel Cooper, Anuj Karpatne, Adrian Sandu
http://arxiv.org/abs/2111.08626v1
• [cs.LG]Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross
http://arxiv.org/abs/2111.09159v1
• [cs.LG]Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
Erik Vargo, Alex Tien, Arian Jafari
http://arxiv.org/abs/2111.09139v1
• [cs.LG]CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms
Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga
http://arxiv.org/abs/2111.08819v1
• [cs.LG]Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities
Xintong Shi, Wenzhi Cao, Sebastian Raschka
http://arxiv.org/abs/2111.08851v1
• [cs.LG]Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut
http://arxiv.org/abs/2111.09278v1
• [cs.LG]Do Not Trust Prediction Scores for Membership Inference Attacks
Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
http://arxiv.org/abs/2111.09076v1
• [cs.LG]Exploring Unsupervised Learning Methods for Automated Protocol Analysis
Arijit Dasgupta, Yi-Xue Yan, Clarence Ong, Jenn-Yue Teo, Chia-Wei Lim
http://arxiv.org/abs/2111.09061v1
• [cs.LG]FAIRLEARN:Configurable and Interpretable Algorithmic Fairness
Ankit Kulshrestha, Ilya Safro
http://arxiv.org/abs/2111.08878v1
• [cs.LG]Fairness Testing of Deep Image Classification with Adequacy Metrics
Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang
http://arxiv.org/abs/2111.08856v1
• [cs.LG]Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
James Ferlez, Haitham Khedr, Yasser Shoukry
http://arxiv.org/abs/2111.09293v1
• [cs.LG]Fast Rates for Nonparametric Online Learning: From Realizability to Learning in Games
Constantinos Daskalakis, Noah Golowich
http://arxiv.org/abs/2111.08911v1
• [cs.LG]Fast Yet Effective Machine Unlearning
Ayush K Tarun, Vikram S Chundawat, Murari Mandal, Mohan Kankanhalli
http://arxiv.org/abs/2111.08947v1
• [cs.LG]Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang
http://arxiv.org/abs/2111.08834v1
• [cs.LG]Forecasting Crude Oil Price Using Event Extraction
Jiangwei Liu, Xiaohong Huang
http://arxiv.org/abs/2111.09111v1
• [cs.LG]GFlowNet Foundations
Yoshua Bengio, Tristan Deleu, Edward J. Hu, Salem Lahlou, Mo Tiwari, Emmanuel Bengio
http://arxiv.org/abs/2111.09266v1
• [cs.LG]GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm
http://arxiv.org/abs/2111.08874v1
• [cs.LG]HiRID-ICU-Benchmark — A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
http://arxiv.org/abs/2111.08536v2
• [cs.LG]IV-GNN : Interval Valued Data Handling Using Graph Neural Network
Sucheta Dawn, Sanghamitra Bandyopadhyay
http://arxiv.org/abs/2111.09194v1
• [cs.LG]Interpretable Models via Pairwise permutations algorithm
Troy Maaslandand, João Pereira, Diogo Bastos, Marcus de Goffau, Max Nieuwdorp, Aeilko H. Zwinderman, Evgeni Levin
http://arxiv.org/abs/2111.09145v1
• [cs.LG]Investigating Conversion from Mild Cognitive Impairment to Alzheimer’s Disease using Latent Space Manipulation
Deniz Sezin Ayvaz, Inci M. Baytas
http://arxiv.org/abs/2111.08794v1
• [cs.LG]Label efficient two-sample test
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
http://arxiv.org/abs/2111.08861v1
• [cs.LG]Network Generation with Differential Privacy
Xu Zheng, Nicholas McCarthy, Jer Hayes
http://arxiv.org/abs/2111.09085v1
• [cs.LG]ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
Peter Domanski, Dirk Pflüger, Jochen Rivoir, Raphaël Latty
http://arxiv.org/abs/2111.09043v1
• [cs.LG]Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Max Würfel, Qiwei Han, Maximilian Kaiser
http://arxiv.org/abs/2111.08840v1
• [cs.LG]Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification
David Cemernek
http://arxiv.org/abs/2111.09127v1
• [cs.LG]PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
André Ofner, Sebastian Stober
http://arxiv.org/abs/2111.08792v1
• [cs.LG]Random Graph-Based Neuromorphic Learning with a Layer-Weaken Structure
Ruiqi Mao, Rongxin Cui
http://arxiv.org/abs/2111.08888v1
• [cs.LG]SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
http://arxiv.org/abs/2111.08857v1
• [cs.LG]SMACE: A New Method for the Interpretability of Composite Decision Systems
Gianluigi Lopardo, Damien Garreau, Frederic Precioso, Greger Ottosson
http://arxiv.org/abs/2111.08749v1
• [cs.LG]Secure Federated Learning for Residential Short Term Load Forecasting
Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee, Gilbert Fridgen
http://arxiv.org/abs/2111.09248v1
• [cs.LG]Self-Learning Tuning for Post-Silicon Validation
Peter Domanski, Dirk Plüger, Jochen Rivoir, Raphaël Latty
http://arxiv.org/abs/2111.08995v1
• [cs.LG]Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
http://arxiv.org/abs/2111.09128v1
• [cs.LG]SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin
http://arxiv.org/abs/2111.09277v1
• [cs.LG]Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhad
http://arxiv.org/abs/2111.09074v1
• [cs.LG]Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification
Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto
http://arxiv.org/abs/2111.08922v1
• [cs.LG]Trustworthy Long-Tailed Classification
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
http://arxiv.org/abs/2111.09030v1
• [cs.LG]Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
Jonas Schulz, Rafael Poyiadzi, Raul Santos-Rodriguez
http://arxiv.org/abs/2111.09121v1
• [cs.LG]Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Rui Hu, Jitao Sang, Jinqiang Wang, Rui Hu, Chaoquan Jiang
http://arxiv.org/abs/2111.09190v1
• [cs.MA]Search and Rescue in a Maze-like Environment with Ant and Dijkstra Algorithms
Z. Husain, A. Al Zaabi, H. Hildmann, F. Saffre, D. Ruta, A. F. Isakovic
http://arxiv.org/abs/2111.08882v1
• [cs.NE]A Case Study of Vehicle Route Optimization
Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer
http://arxiv.org/abs/2111.09087v1
• [cs.NE]A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun, Dmitri B Chklovskii, Anirvan M Sengupta
http://arxiv.org/abs/2111.08858v1
• [cs.NE]How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg, Santosh S. Vempala
http://arxiv.org/abs/2111.08706v1
• [cs.NI]CAMIG: Concurrency-Aware Live Migration Management of Multiple Virtual Machines in SDN-enabled Clouds
TianZhang He, Adel N Toosi, Rajkumar Buyya
http://arxiv.org/abs/2111.08942v1
• [cs.NI]Efficient Large-Scale Multiple Migration Planning and Scheduling in SDN-enabled Edge Computing
TianZhang He, Adel N Toosi, Rajkumar Buyya
http://arxiv.org/abs/2111.08936v1
• [cs.RO]Adaptive Lookahead Pure-Pursuit for Autonomous Racing
Varundev Sukhil, Madhur Behl
http://arxiv.org/abs/2111.08873v1
• [cs.RO]Analysis of Model-Free Reinforcement Learning Control Schemes on self-balancing Wheeled Extendible System
Kanishk ., Rushil Kumar, Vikas Rastogi, Ajeet Kumar
http://arxiv.org/abs/2111.08389v2
• [cs.RO]Barrier Forming: Separating Polygonal Sets with Minimum Number of Lines
Si Wei Feng, Jingjin Yu
http://arxiv.org/abs/2111.09151v1
• [cs.RO]DA-LMR: A Robust Lane Markings Representation for Data Association Methods
Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller
http://arxiv.org/abs/2111.09230v1
• [cs.RO]IKFlow: Generating Diverse Inverse Kinematics Solutions
Barrett Ames, Jeremy Morgan, George Konidaris
http://arxiv.org/abs/2111.08933v1
• [cs.RO]Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control
Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
http://arxiv.org/abs/2111.08748v1
• [cs.RO]Learning Provably Robust Motion Planners Using Funnel Libraries
Ali Ekin Gurgen, Anirudha Majumdar, Sushant Veer
http://arxiv.org/abs/2111.08733v1
• [cs.RO]Multi-Mobile Robot Localization and Navigation based on Visible Light Positioning
Yanyi Chen, Zhiqing Zhong, Shangsheng Wen, Weipeng Guan
http://arxiv.org/abs/2111.09050v1
• [cs.RO]Obstacle Crossing by Multi-mobile Robots in Object Transportation with Deformable Sheet
Jiawei Hu, Wenhang Liu, Heng Zhang, Zhenhua Xiong
http://arxiv.org/abs/2111.09046v1
• [cs.RO]On the modification of the SPARUS II AUV for close range imaging survey platform
Yevgeni Gutnik, Aviad Avni, Tali Treibitz, Morel Groper
http://arxiv.org/abs/2111.08971v1
• [cs.RO]Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming
Kyle Stachowicz, Evangelos A. Theodorou
http://arxiv.org/abs/2111.09207v1
• [cs.RO]Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data
Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar
http://arxiv.org/abs/2111.08761v1
• [cs.RO]The Unified Mathematical Framework for IMU Preintegration in Inertial-Aided Navigation System
Yarong Luo, Yang liu, Chi Guo, Jingnan Liu
http://arxiv.org/abs/2111.09100v1
• [cs.RO]Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression
Feng Xue, Anlong Ming, Yu Zhou
http://arxiv.org/abs/2111.09204v1
• [cs.RO]Trajectory Prediction & Path Planning for an Object Intercepting UAV with a Mounted Depth Camera
Jasper Tan, Arijit Dasgupta, Arjun Agrawal, Sutthiphong Srigrarom
http://arxiv.org/abs/2111.09083v1
• [cs.SD]Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
Georgia Maniati, Nikolaos Ellinas, Konstantinos Markopoulos, Georgios Vamvoukakis, June Sig Sung, Hyoungmin Park, Aimilios Chalamandaris, Pirros Tsiakoulis
http://arxiv.org/abs/2111.09075v1
• [cs.SD]High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos, Aimilios Chalamandaris, Georgia Maniati, Panos Kakoulidis, Spyros Raptis, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis
http://arxiv.org/abs/2111.09052v1
• [cs.SD]Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
Konstantinos Markopoulos, Nikolaos Ellinas, Alexandra Vioni, Myrsini Christidou, Panos Kakoulidis, Georgios Vamvoukakis, Georgia Maniati, June Sig Sung, Hyoungmin Park, Pirros Tsiakoulis, Aimilios Chalamandaris
http://arxiv.org/abs/2111.09146v1
• [cs.SD]Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson’s Speech Data
Yiwen Wang, Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li
http://arxiv.org/abs/2111.09014v1
• [cs.SI]Improving the performance of reputation evaluating by combining the structure of network and nonlinear recovery
Meng Li, Chengyuan Han, Yuanxiang Jiang, Zengru Di
http://arxiv.org/abs/2111.08092v2
• [cs.SI]Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic
Nosin Ibna Mahbub, Md Rakibul Islam, Md Al Amin, Md Khairul Islam, Bikash Chandra Singh, Md Imran Hossain Showrov, Anirudda Sarkar
http://arxiv.org/abs/2111.09275v1
• [eess.IV]Automated Atlas-based Segmentation of Single Coronal Mouse Brain Slices using Linear 2D-2D Registration
Sébastien Piluso, Nicolas Souedet, Caroline Jan, Cédric Clouchoux, Thierry Delzescaux
http://arxiv.org/abs/2111.08705v1
• [eess.IV]Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study
Jhon Jairo Saenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrez, Jon A. Gómez, Maria de la Iglesia-Vayá
http://arxiv.org/abs/2111.08712v1
• [eess.IV]CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images
Azael M. Sousa, Fabiano Reis, Rachel Zerbini, João L. D. Comba, Alexandre X. Falcão
http://arxiv.org/abs/2111.08710v1
• [eess.IV]End-to-end optimized image compression with competition of prior distributions
Benoit Brummer, Christophe De Vleeschouwer
http://arxiv.org/abs/2111.09172v1
• [eess.IV]Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation
G Jignesh Chowdary, G V S N Durga Yathisha, Suganya G, Premalatha M
http://arxiv.org/abs/2111.08708v1
• [eess.IV]Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution
Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang
http://arxiv.org/abs/2111.09103v1
• [eess.IV]Image Super-Resolution Using T-Tetromino Pixels
Simon Grosche, Andy Regensky, Jürgen Seiler, André Kaup
http://arxiv.org/abs/2111.09013v1
• [eess.IV]Segmentation of Lung Tumor from CT Images using Deep Supervision
Farhanaz Farheen, Md. Salman Shamil, Nabil Ibtehaz, M. Sohel Rahman
http://arxiv.org/abs/2111.09262v1
• [eess.IV]Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
Zhishen Huang, Saiprasad Ravishankar
http://arxiv.org/abs/2111.09212v1
• [eess.IV]Two-step adversarial debiasing with partial learning — medical image case-studies
Ramon Correa, Jiwoong Jason Jeong, Bhavik Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
http://arxiv.org/abs/2111.08711v1
• [eess.SP]A Generalized Proportionate-Type Normalized Subband Adaptive Filter
Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
http://arxiv.org/abs/2111.08952v1
• [math.ST]On Adaptive Confidence Sets for the Wasserstein Distances
Neil Deo, Thibault Randrianarisoa
http://arxiv.org/abs/2111.08505v2
• [physics.flu-dyn]Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
Elias Karabelas, Stefano Longobardi, Jana Fuchsberger, Orod Razeghi, Cristobal Rodero, Marina Strocchi, Ronak Rajani, Gundolf Haase, Gernot Plank, Steven Niederer
http://arxiv.org/abs/2111.08339v2
• [q-bio.GN]Interpreting multi-variate models with setPCA
Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill
http://arxiv.org/abs/2111.09138v1
• [q-bio.QM]Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
http://arxiv.org/abs/2111.09114v1
• [q-fin.ST]Information dynamics of price and liquidity around the 2017 Bitcoin markets crash
Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
http://arxiv.org/abs/2111.09057v1
• [quant-ph]Quantum-Assisted Support Vector Regression for Detecting Facial Landmarks
Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders
http://arxiv.org/abs/2111.09304v1
• [stat.AP]Identifying the Factors that Influence Urban Public Transit Demand
Armstrong Aboah, Lydia Johnson, Setul Shah
http://arxiv.org/abs/2111.09126v1
• [stat.AP]Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets
Richard A. Berk, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2111.09211v1
• [stat.AP]Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation
Nathan Tung, Eli Upfal, Jerome Sanes, Ani Eloyan
http://arxiv.org/abs/2111.08118v2
• [stat.AP]Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data
Sangwon Hyun, Aditya Mishra, Christopher L. Follett, Bror Jonsson, Gemma Kulk, Gael Forget, Marie-Fanny Racault, Thomas Jackson, Stephanie Dutkiewicz, Christian L. Müller, Jacob Bien
http://arxiv.org/abs/2111.08736v1
• [stat.AP]Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach
Zohreh Shaghaghian, Fatemeh Shahsavari, Elham Delzendeh
http://arxiv.org/abs/2111.08844v1
• [stat.AP]The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018
Rohan Alexander, Monica Alexander
http://arxiv.org/abs/2111.09299v1
• [stat.ME]A Note on Simulation-Based Inference by Matching Random Features
Cosma Rohilla Shalizi
http://arxiv.org/abs/2111.09220v1
• [stat.ME]Jump Interval-Learning for Individualized Decision Making
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
http://arxiv.org/abs/2111.08885v1
• [stat.ME]Non-parametric Bayesian Vector Autoregression using Multi-subject Data
Suprateek Kundu, Joshua Lukemire
http://arxiv.org/abs/2111.08743v1
• [stat.ME]Practical Guidance on Modeling Choices for the Virtual Twins Method
Chuyu Deng, David M. Vock, Dana M. Carroll, Jeffrey A. Boatman, Dorothy K. Hatsukami, Ning Leng, Joseph S. Koopmeiners
http://arxiv.org/abs/2111.08741v1
• [stat.ME]Some Case Studies Using Bayesian Statistical Models
Juan Sosa, Lina Buitrago
http://arxiv.org/abs/2111.08870v1
• [stat.ME]Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
Robin Dunn, Larry Wasserman, Aaditya Ramdas
http://arxiv.org/abs/2111.09254v1
• [stat.ML]Distribution Compression in Near-linear Time
Abhishek Shetty, Raaz Dwivedi, Lester Mackey
http://arxiv.org/abs/2111.07941v2
• [stat.ML]Max-Min Grouped Bandits
Zhenlin Wang, Jonathan Scarlett
http://arxiv.org/abs/2111.08862v1
• [stat.ML]Online Estimation and Optimization of Utility-Based Shortfall Risk
Arvind S. Menon, Prashanth L. A., Krishna Jagannathan
http://arxiv.org/abs/2111.08805v1
• [stat.ML]Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data
Rune D. Kjærsgaard, Manja G. Grønberg, Line K. H. Clemmensen
http://arxiv.org/abs/2111.09065v1
• [stat.ML]Three approaches to supervised learning for compositional data with pairwise logratios
Germa Coenders, Michael Greenacre
http://arxiv.org/abs/2111.08953v1
• [stat.OT]A revision to the theory of organic fiducial inference
Russell J. Bowater
http://arxiv.org/abs/2111.09279v1