会议名称(中文): 第二届人工智能与模式识别国际会议 会议名称(英文): The Second International Conference on Artificial Intelligence and Pattern Recognition(AIPR 2015) 所属学科: 计算机应用技术,人工智能,信号与信息处理 开始日期: 2015-04-16 结束日期: 2015-04-18 所在国家: 中华人民共和国 所在城市: 广东省 深圳市 具体地点: 中国科学院深圳先进技术研究院 主办单位: 中国科学院深圳先进技术研究院
[ 重要日期 ] 摘要截稿日期: 2015-03-16 全文截稿日期: 2015-04-16 参会报名截止日期: 2015-04-16
会议背景介绍: 第二届人工智能和模式识别国际会议(AIPR 2015)将于2015年4月16-18日在中国科学院深圳先进技术研究院举行。本次会议由深圳先进院与数字信息和无线通信社团(SDIWC)联合举办,将由主讲嘉宾和来自国际社会的研究学者进行专题报告。
所有注册论文将被SDIWC数字库收录,优秀会议论文将发表在相关领域专业期刊,如:新计算机体系结构和应用国际期刊(IJNCAA),网络安全和数字取证国际期刊(IJCSDF),数字信息和无线通信国际期刊(IJDIWC),数字多媒体的在线学习和教育技术国际期刊(IJEETDM)。 征文范围及要求: The conference welcomes papers on the following (but not limited to) research topics Agent-based Systems AI and Evolutionary Algorithms Ant Colony Optimization Approximate Reasoning Artificial Immune Systems Artificial Intelligence in Modeling and Simulation Artificial Intelligence in Scheduling and Optimization Artificial Life Automated Problem Solving Bioinformatics and Computational Biology Biometric Authentication Brain-machine Interfaces Camera Networks and Vision Case Studies Cognitive Systems and Applications Collective Intelligence Computer Vision Data Mining Decision Support Systems Differential Evolution Distributed AI Systems and Architectures Emerging Technologies Evolutionary Data Mining Evolutionary Design Evolutionary Scheduling Expert Systems Fuzzy Computing with Words Fuzzy Control and Intelligent Systems Fuzzy Decision Making and Decision Support Systems Fuzzy Logic and Fuzzy Set Theory Fuzzy Optimization and design Fuzzy Pattern Recognition Fuzzy Systems for Robotics Game Theory Hardware Implementations Heuristic Searching Methods Integration of AI With Other Technologies Intelligent Agents Intelligent Data Mining and Farming Intelligent Databases Intelligent Information Systems Intelligent Networks Intelligent Tutoring Systems Intelligent User Interface Intelligent Web-based Business Knowledge Engineering Knowledge Networks and Management Knowledge-based Recognition Knowledge-intensive Problem Solving Techniques Machine Learning Modeling and Identification Molecular and Quantum Computing Motion and Tracking Algorithms and Orientation Estimation Multi-agent Systems Multimedia Systems and Applications Natural Language Processing Neural Network Theory, Architectures and Applications Novel Noise Reduction Algorithms Particle Swarm Optimization Printing Technologies Robotics and Related Fields Rough Sets and Rough Data Analysis Segmentation Techniques Signal and Speech Processing Social Impact of AI Software Tools for AI Speech Understanding Structural and Syntactic Pattern Recognition Supervised and Unsupervised Learning Type-2 Fuzzy Logic Various Applications Watermarking Methods and Protection Web Intelligence |