会议名称(中文):第22届模式识别国际会议 会议名称(英文):22nd International Conference on Pattern Recognition 所属学科:信号与信息处理 开始日期:2014-08-24 结束日期:2014-08-28 所在国家:瑞典 所在城市:瑞典 具体地点:Stockholm 主办单位:Swedish Society for Automated Image Analysis (SSBA) 协办单位: 承办单位: 议题:
[ 组织结构 ] 会议主席: 组织委员会主席: 程序委员会主席: 会议嘉宾: 姓名 职务 简介 演讲题目
[ 重要日期 ] 全文截稿日期:2013-12-20 [ 会务组联系方式 ] 联系人: 联系电话: 传真: E-MAIL:info@icpr2014.org 通讯地址: 邮政编码: 会议注册费: 会议网站:http://www.icpr2014.org/ 会议背景介绍: Welcome to the 22nd International Conference on Pattern Recognition in Stockholm, August 2014, hosted by the Swedish Society for Automated Image Analysis (SSBA). ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields. 征文范围及要求: Tracks and topics
Track 1: Computer Vision
Vision sensors Early vision Low-level vision Biologically motivated vision Illumination and reflectance modeling Image based modeling Physics-based vision Perceptual organization Shape modeling and encoding Computational photography 3D shape recovery Motion, tracking and video analysis 2D/3D object detection and recognition Scene understanding Occlusion and shadow detection Stereo and multiple view geometry Reconstruction and camera motion estimation Vision for graphics Vision for robotics Cognitive and embodied vision Track 2: Pattern Recognition and Machine Learning
Statistical, syntactic and structural pattern recognition Machine learning and data mining Artificial neural networks Dimensionality reduction and manifold learning Classification and clustering Representation and analysis in pixel/voxel images Support vector machines and kernel methods Symbolic learning Active and ensemble learning Deep learning Transfer learning Semi-supervised learning and spectral methods Model selection Reinforcement learning and temporal models Track 3: Image, Speech, Signal and Video Processing
Signal, image and video processing Image and video analysis and understanding Audio and acoustic processing and analysis Spoken language processing Sensor array & multichannel signal processing Segmentation, features and descriptors Texture and color analysis Enhancement, restoration and filtering Coding, compression and super-resolution Automatic speech and speaker recognition Multimedia analysis, indexing and retrieval Track 4: Document Analysis, Biometrics and Pattern Recognition Applications
Pattern Recognition for Bioinformatics Pattern Recognition for Surveillance and Security Pattern Recognition for Search, Retrieval and Visualization Pattern Recognition for Art, Cultural Heritage and Entertainment Industrial image analysis Gesture and Behavior Analysis Mixed and Augmented Reality Inpainting and Superimposing Signal Processing for Astronomy Human Computer Interaction Display Hardware Character and Text Recognition Handwriting Recognition Graphics Recognition Document Understanding Performance Evaluation Human computer interaction Speech and natural language based interaction Human body motion and gesture based interaction Affective computing Facial expression recognition Group interaction: analysis of verbal and non-verbal communication Biometric systems and applications Multi-biometrics Forensic biometrics and its applications Fingerprint recognition Face recognition Iris recognition Gate recognition Speaker recognition Other biometric modalities Soft biometrics Security issues Other applications Track 5: Biomedical Image Analysis
Medical image and signal analysis Biological image and signal analysis Modeling, simulation and visualization Computer-aided detection and diagnosis Image guidance and robot guidance of interventions Content based image retrieval and data mining Medical and biological imaging Segmentation of medical images Molecular and cellular image analysis Volumetric image analysis Deformable object tracking and registration Computational anatomy and digital human VR/AR in medical education, diagnosis and surgery Medical robotics Brain-computer interfaces Data mining for biological databases Algorithms for molecular biology |