Title :
Early recognition of sequential patterns by classifier combination
Author :
Uchida, Seiichi ; Amamoto, Kazuma
Author_Institution :
Kyushu Univ., Fukuoka, Japan
Abstract :
This paper proposes an early recognition method, i.e., a method for recognizing sequential patterns at their beginning parts. The method is based on a combination of frame classifiers prepared at individual frames. The training patterns misrecognized by the frame classifier at a certain frame are heavily weighted for the complementary training of the frame classifier at the next frame. The method was applied to an online character recognition task for showing its usefulness.
Keywords :
character recognition; image classification; learning (artificial intelligence); individual frame; online character recognition task; pattern classifier combination; sequential pattern early recognition method; Character recognition; Costs; Pattern matching; Pattern recognition; Speech recognition;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761137