Adaptation in statistical pattern recognition using tangent vectors
Keysers, D.
Macherey, W.
Ney, H.
Dahmen, J.
Dept. Comput. Sci., Aachen-Univ. of Technol., Aachen, Germany
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on Publication Date: Feb. 2004
Volume: 26
,
Issue: 2
On page(s):
269
- 274
ISSN: 0162-8828
Digital Object Identifier: 10.1109/TPAMI.2004.1262198
Current Version Published: 2004-06-28
Abstract
We integrate the tangent method into a statistical framework for classification analytically and practically. The resulting consistent framework for adaptation allows us to efficiently estimate the tangent vectors representing the variability. The framework improves classification results on two real-world pattern recognition tasks from the domains handwritten character recognition and automatic speech recognition.
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