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A novel supervised information feature compression algorithm
Ding, Shifei; Shi, Zhongzhi
2006
发表期刊COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS
ISSN0302-9743
卷号3991页码:777-780
摘要In this paper, a novel supervised information feature compression algorithm is set up. Firstly, according to the information theories, we carried out analysis for the concept and its properties of the cross entropy, then put forward a kind of lately concept of symmetry cross entropy (SCE), and point out that the SCE is a kind of distance measure, which can be used to measure the difference of two random variables. Secondly, We make the SCE separability criterion of the classes for information feature compression, and design a novel algorithm for information feature compression. At last, the experimental results demonstrate that the algorithm here is valid and reliable, and provides a new research approach for feature compression, data mining and pattern recognition.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000238389200099
出版者SPRINGER-VERLAG BERLIN
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/10394
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, Shifei
作者单位1.Shandong Agr Univ, Coll Informat Sci & Engn, Tai An 271018, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
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Ding, Shifei,Shi, Zhongzhi. A novel supervised information feature compression algorithm[J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS,2006,3991:777-780.
APA Ding, Shifei,&Shi, Zhongzhi.(2006).A novel supervised information feature compression algorithm.COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS,3991,777-780.
MLA Ding, Shifei,et al."A novel supervised information feature compression algorithm".COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS 3991(2006):777-780.
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