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: | , , |
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Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2009
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/12930/ http://dx.doi.org/10.1109/ICDAR.2009.248 |
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