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)

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 D
• 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