Short note on two output-dependent hidden Markov models

Xue, J.H. and Titterington, D.M. (2008) Short note on two output-dependent hidden Markov models. Pattern Recognition Letters, 29(9), pp. 1424-1426. (doi:10.1016/j.patrec.2008.02.018)

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Publisher's URL: http://dx.doi.org/10.1016/j.patrec.2008.02.018

Abstract

The purpose of this note is to study the assumption of mutual information independence", which is used by Zhou (2005) for deriving an output-dependent hidden Markov model, the so-called discriminative HMM (D-HMM), in the context of determining a stochastic optimal sequence of hidden states. The assumption is extended to derive its generative counterpart, the G-HMM. In addition, state-dependent representations for two output-dependent HMMs, namely HMMSDO (Li, 2005) and D-HMM, are presented.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Titterington, Professor Michael
Authors: Xue, J.H., and Titterington, D.M.
Subjects:Q Science > QA Mathematics
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Pattern Recognition Letters
Publisher:Elsevier BV
ISSN:0167-8655
ISSN (Online):1872-7344
First Published:First published in Pattern Recognition Letters 29(9):1424-1426
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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