A new combination scheme for HMM-based classifiers and its application to handwriting recognition
Author:
Publisher
IEEE Comput. Soc
Link
http://xplorestaging.ieee.org/ielx5/8091/22464/01048307.pdf?arnumber=1048307
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Research on Handwritten Text Recognition (HTR) Strategies for English Words;2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2021-12-17
2. Classifiers Combination Techniques: A Comprehensive Review;IEEE Access;2018
3. Particle Swarm Optimization For Hidden Markov Model;International Journal of Knowledge and Systems Science;2015-04
4. Markov Model Based Handwriting Recognition;SpringerBriefs in Computer Science;2011
5. Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications;IEEE Transactions on Pattern Analysis and Machine Intelligence;2009-12
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