Title :
Modular pattern classifiers: a brief survey
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
Abstract :
While solving a complex pattern classification problem, it is often difficult to design a monolithic classifier. One approach is to divide the problem into smaller ones, and solve each subproblem using a simpler classifier. This kind of divide and conquer policy has motivated the researchers to substitute a modular classifier for the single monolithic classifier. The paper reviews the advantages, issues and various techniques available for designing the modular classifiers
Keywords :
divide and conquer methods; feature extraction; pattern classification; complex pattern classification problem; divide and conquer policy; modular classifier; modular classifier design; modular pattern classifiers; monolithic classifier; single monolithic classifier; subproblem; Biomedical computing; Computer science; Image processing; Labeling; Laboratories; Pattern classification; Robot sensing systems; Speech processing; Speech recognition; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884435