Maximum likelihood estimation for multivariate mixture observations of Markov chins
IEEE Transactions on Information Theory
HMM Based On-Line Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An entropic estimator for structure discovery
Proceedings of the 1998 conference on Advances in neural information processing systems II
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Hidden Markov Model} Induction by Bayesian Model Merging
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WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
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ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hidden Markov Model Based Continuous Online Gesture Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
HMM topology optimization for handwriting recognition
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-level background initialization using Hidden Markov Models
IWVS '03 First ACM SIGMM international workshop on Video surveillance
On the structure of hidden Markov models
Pattern Recognition Letters
A Hidden Markov Model approach for appearance-based 3D object recognition
Pattern Recognition Letters
Unsupervised scene analysis: a hidden Markov model approach
Computer Vision and Image Understanding
Investigating hidden Markov models capabilities in anomaly detection
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Incorporating topic transition in topic detection and tracking algorithms
Expert Systems with Applications: An International Journal
A prediction algorithm for time series based on adaptive model selection
Expert Systems with Applications: An International Journal
A new distance measure for hidden Markov models
Expert Systems with Applications: An International Journal
Unsupervised scene analysis: A hidden Markov model approach
Computer Vision and Image Understanding
Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
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This paper addresses the problem of the optimal selection of the structure of a hidden Markov model. A new approach is proposed, which is able to deal with drawbacks of standard general purpose methods, like those based on the Bayesian inference criterion, i.e., computational requirements, and sensitivity to initialization of the training procedures. The basic idea is to perform "decreasing" learning, starting each training session from a "nearly good" situation, derived from the result of the previous training session by pruning the "least probable" state of the model. Experiments with real and synthetic data show that the proposed approach is more accurate in finding the optimal model, is more effective in classification accuracy, while reducing the computational burden.