Adaptation in statistical pattern recognition using tangent vectors
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Published on: August 30, 2013
Daniel Keysers1, Wolfgang Macherey, Hermann Ney
1Lehrstuhl für Informatik VI, Computer Science Department, RWTH Aachen-University of Technology, D-52056 Aachen, Germany. keysers@informatik.rwth-aachen.de
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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