An algorithm of analysis tools on points distribution in high dimension space: The distance of a point and an infinite sub-space

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	An algorithm of analysis tools on points distribution in high dimension space: The distance of a point and an infinite sub-space
	Wang, SJ; Zhao, GL; Wang, SJ, Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China.
	2005
会议名称	International Conference on Neural Networks and Brain (ICNN&B 2005)
会议录名称	Proceedings of the 2005 International Conference on Neural Networks and Brain
页码	Vols 1-3: 1503-1506
会议日期	OCT 13-15, 2005
会议地点	Beijing, PEOPLES R CHINA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
ISBN	0-7803-9422-4
部门归属	chinese acad sci, inst semicond, lab artificial neural networks, beijing 100083, peoples r china
摘要	This paper discusses the algorithm on the distance from a point and an infinite sub-space in high dimensional space With the development of Information Geometry([1]), the analysis tools of points distribution in high dimension space, as a measure of calculability, draw more attention of experts of pattern recognition. By the assistance of these tools, Geometrical properties of sets of samples in high-dimensional structures are studied, under guidance of the established properties and theorems in high-dimensional geometry.
关键词	Information Geometry Analysis Analysis Tools Of Points Distribution High Dimensional Space Biomimetic Pattern-recognition
学科领域	人工智能
主办者	China Neural Networks Council.; IEEE Computat Intelligence Soc, Beijing Chapter.; Chinese Inst Elect.; Chinese Assoc Artificial Intelligence.
收录类别	CPCI-S
语种	英语
文献类型	会议论文
条目标识符	http://ir.semi.ac.cn/handle/172111/9956
专题	中国科学院半导体研究所（2009年前）
通讯作者	Wang, SJ, Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China.
推荐引用方式 GB/T 7714	Wang, SJ,Zhao, GL,Wang, SJ, Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China.. An algorithm of analysis tools on points distribution in high dimension space: The distance of a point and an infinite sub-space[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2005:Vols 1-3: 1503-1506.

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