Lexicon-based word recognition using support vector machine and hidden markov model

Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capability. However, NN does not guarantee good generalization due to Empirical Risk minimization (ERM) principle that it uses. In...

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Main Authors: Ahmad, A. R., Viard-Gaudin, C., Khalid, M.
格式: Book Section
出版: Institute of Electrical and Electronics Engineers 2009
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在线阅读:http://eprints.utm.my/id/eprint/12930/
http://dx.doi.org/10.1109/ICDAR.2009.248
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