Hidden Markov chain estimation and parameterisation via ICA-based feature-selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-005-0249-2.pdf
Reference21 articles.
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5. Bahlmann C, Burkhardt H (2001) Measuring HMM similarity with the bayes probability of error and its application to online handwriting recognition. In: Proceedings of Sixth International Conference on Document Analysis and Recognition. Seatle, pp 406–411
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1. A survey of feature selection methods for Gaussian mixture models and hidden Markov models;Artificial Intelligence Review;2017-09-25
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