Some Current Concepts and Problems in Pattern Classification and Feature Extraction.

摘要

Noting the major limitations of the much developed multi-variate statistical and syntactic pattern recognition models, this paper describes--in a tutorial manner--alternate representations, based on stage-space and AND/OR graphs and ordered search strategies, for multistage and nearest neighbor classification and for structural pattern analysis and feature extraction. Some recent work in pattern recognition is reviewed from these vantage points. In addition, the paper touches on recent contributions to the continuing attempts to understand feature subset selection, measurement complexity and nonparametric classification and error estimation. Surveys, conference proceedings and edited collections providing quick access to the recent literature on pattern recognition methodologies and applications, are cited in the bibliography. (Author)