A tutorial on Hidden Markov Models and selected applications in speech recognition, Proceedings of the IEEE, pp.257-286, 1989. ,
An HMM-Based Threshold Model Approach for Gesture Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.21, issue.10, pp.961-973, 2002. ,
Coupled hidden Markov models for complex action recognition, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.994-999, 1997. ,
DOI : 10.1109/CVPR.1997.609450
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.31.611&rep=rep1&type=pdf
Initialization of hidden Markov models for unconstrained on-line handwriting recognition, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, pp.3502-3505, 1996. ,
DOI : 10.1109/ICASSP.1996.550783
A sequential pruning strategy for the selection of the number of states in hidden Markov models, Pattern Recognition Letters, vol.24, issue.9-10, pp.9-10, 2003. ,
DOI : 10.1016/S0167-8655(02)00380-X
Selecting hidden Markov model state number with cross-validated likelihood, Computational Statistics, vol.63, issue.1, pp.541-564, 2008. ,
DOI : 10.1017/CBO9780511812651
URL : https://hal.archives-ouvertes.fr/inria-00193098
Choosing and Modeling the Hand Gesture Database for a Natural User Interface, Proc. of GW 2011: The 9th International Gesture Workshop Gesture in Embodied Communication and Human-Computer Interaction, 2011. ,
DOI : 10.1007/978-3-642-34182-3_3
Clustering human behaviors with dynamic time warping and hidden Markov models for a video surveillance system, pp.884-888, 2010. ,
The Divergence and Bhattacharyya Distance Measures in Signal Selection, IEEE Transactions on Communications, vol.15, issue.1, pp.52-60, 1967. ,
DOI : 10.1109/TCOM.1967.1089532
A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974. ,
DOI : 10.1109/TAC.1974.1100705
An Algorithm for Vector Quantizer Design, IEEE Transactions on Communications, vol.28, issue.1, pp.84-95, 1980. ,
DOI : 10.1109/TCOM.1980.1094577
Self-Organizing Maps and Learning Vector Quantization for Feature Sequences, Neural Processing Letters, vol.10, issue.2, pp.151-159, 2004. ,
DOI : 10.1023/A:1018741720065
Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping, Lecture Notes in Computer Science, vol.2, issue.2, pp.221-228, 2010. ,
DOI : 10.3389/neuro.11.008.2008
An optimal Bhattacharyya centroid algorithm for Gaussian clustering with applications in automatic speech recognition, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.1599-1602, 2000. ,
DOI : 10.1109/ICASSP.2000.861998