RESEARCH OF PATTERN FEATURE EXTRACTION AND SELECTION

摘要：

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 Low Loss Dimensionality Reduction; 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.

关键词： Pattern Feature Eztraction Information Theory Neural Network Independent Component Analysis Manifold Learning Optimization Algorithm

作者: SHI-FEI DING WEI-KUAN JIA CHUN-YANG SU ZHONG-ZHI SHI

作者单位: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221008, College of Plant Protection, Shandong Agricultural University, Taian 271018, China School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221008, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Aca

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 466-471

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）