DocumentCode :
475949
Title :
Research of pattern feature extraction and selection
Author :
Ding, Shi-fei ; Jia, Wei-kuan ; Su, Chun-yang ; Shi, Zhong-zhi
Author_Institution :
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou
Volume :
1
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
466
Lastpage :
471
Abstract :
As an important link of pattern recognition, pattern feature extraction and selection has been paid close attention by lots of scholars, and currently become one of the research hot spot in the field of pattern recognition. Its main purpose is ldquolow loss dimensionality reductionrdquo; it is generally divided into two parts, that is, linear pattern feature extraction and selection and nonlinear pattern feature extraction and selection. This article gives a general discussion of pattern feature extraction and selection, and introduces the frontier methods of this field, at last discusses the development tendency of pattern feature extraction and selection.
Keywords :
feature extraction; low loss dimensionality reduction; pattern feature extraction; pattern recognition; pattern selection; Cybernetics; Data analysis; Data mining; Feature extraction; Information analysis; Kernel; Machine learning; Machine learning algorithms; Pattern recognition; Statistical analysis; Independent Component Analysis; Information Theory; Manifold Learning; Neural Network; Optimization Algorithm; Pattern Feature Extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620450
Filename :
4620450
Link To Document :
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