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- W2373502783 abstract "In this paper, a new method to adapt the Hidden Markov Model (HMM) parameters is proposed when the original feature vector sequences extracted from handwritten characters are transformed by wavelet. By this method, readers are able to be free from the requirement of retraining the whole recognition parameters when the feature vectors are changed and makes it sufficient to adapt the parameters to the given impulse response of wavelet filter. The authors evaluate the performance of the proposed method, and compare it to that of the retrained HMM parameters based on the handwritten character recognition experiments." @default.
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- W2373502783 date "2005-01-01" @default.
- W2373502783 modified "2023-09-23" @default.
- W2373502783 title "Wavelet Transformation of Hidden Markov Processes and Its Parametric Estimation" @default.
- W2373502783 hasPublicationYear "2005" @default.
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