A Hidden Markov Model-Based Approach to Sequential Data Clustering
- 21 August 2002
- book chapter
- Published by Springer Nature
- p. 734-743
- https://doi.org/10.1007/3-540-70659-3_77
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- HMM clustering for connected word recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Hidden Markov model based continuous online gesture recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- EEG-based communication: a pattern recognition approachIEEE Transactions on Rehabilitation Engineering, 2000
- Dynamic Models for Nonstationary Signal SegmentationComputers and Biomedical Research, 1999
- HMM based online handwriting recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Context-independent phonetic hidden Markov models for speaker-independent continuous speech recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989
- Maximum likelihood estimation for multivariate mixture observations of markov chains (Corresp.)IEEE Transactions on Information Theory, 1986
- Mixture autoregressive hidden Markov models for speech signalsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Estimating the Dimension of a ModelThe Annals of Statistics, 1978