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