所蔵: Lexicon-based word recognition using support vector machine and Hidden Markov Model

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...

詳細記述

保存先:

書誌詳細
主要な著者:	Ahmad A.R., Viard-Gaudin C., Khalid M.
その他の著者:	35589598800
フォーマット:	Conference paper
出版事項:	2023
主題:	Character recognition Hidden Markov models Hybrid systems Image retrieval Neural networks Optimization Vocabulary control Character database Empirical risk minimization Practical issues Simultaneous optimization Structural risk minimization principle Word recognition Support vector machines
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

Lexicon-based word recognition using support vector machine and Hidden Markov Model

類似資料