DocumentCode
2219946
Title
Class-confidence critic combining
Author
Aksela, Matti ; Girdziugas, R. ; Laaksonen, Jorma ; Oja, Erkki ; Kangas, Jari
Author_Institution
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Finland
fYear
2002
fDate
2002
Firstpage
201
Lastpage
206
Abstract
This paper discusses a combination of two techniques for improving the recognition accuracy of on-line handwritten character recognition: committee classification and adaptation to the user. A novel adaptive committee structure, namely the class-confidence critic combination (CCCC) scheme, is presented and evaluated. It is shown to be able to improve significantly on its member classifiers. Also the effect of having either more or less diverse sets of member classifiers is considered.
Keywords
handwriting recognition; image classification; online operation; CCCC scheme; adaptive committee structure; class-confidence critic combining; committee classification; online handwritten character recognition; user adaptation; Conferences; Handwriting recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
Print_ISBN
0-7695-1692-0
Type
conf
DOI
10.1109/IWFHR.2002.1030909
Filename
1030909
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