A two-stage approach for pattern recognition problems of large scale

Author

Wu, Mingrui ; Zhang, Bo

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

Volume

3

fYear

2000

fDate

2000

Firstpage

1514

Abstract

In this paper, a two-stage approach for pattern recognition problems of large scale is proposed. The approach consists of two steps, where two new technologies are developed. The first one is a neural network construction method that can be used to build very complex decision boundaries for difficult pattern classification tasks. The second is a coarse classification method that takes speed and accuracy into consideration at the same time. And the maximum size of the resulted cluster is controlled in order to avoid too much difference among the size of resulted clusters. Recognition of 1000 hand written Chinese characters is used to test the performance of the approach and the results are promising

Keywords

neural nets; pattern classification; coarse classification method; complex decision boundaries; handwritten Chinese characters; large-scale pattern recognition problems; neural network construction method; pattern classification tasks; two-stage approach; Classification algorithms; Clustering algorithms; Computer science; Intelligent systems; Laboratories; Large-scale systems; Neural networks; Pattern classification; Pattern recognition; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.893387

Filename

893387