Introducing Termination Probabilities to HMM

I
ICPR
2002
16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Abstract - Introducing Termination Probabilities to HMM

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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3

Quebec City, QC, Canada

August 11-August 15

ISBN: 0-7695-1695-X

	ASCII Text	x
	Y. Al-Ohali, M. Cheriet, C. Y. Suen, "Introducing Termination Probabilities to HMM," Pattern Recognition, International Conference on, vol. 3, pp. 30319, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.

	BibTex	x
	@article{ 10.1109/ICPR.2002.1047857, author = {Y. Al-Ohali and M. Cheriet and C. Y. Suen}, title = {Introducing Termination Probabilities to HMM}, journal ={Pattern Recognition, International Conference on}, volume = {3}, year = {2002}, issn = {1051-4651}, pages = {30319}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047857}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Introducing Termination Probabilities to HMM SN - 1051-4651 SP EP A1 - Y. Al-Ohali, A1 - M. Cheriet, A1 - C. Y. Suen, PY - 2002 KW - null VL - 3 JA - Pattern Recognition, International Conference on ER -

Y. Al-Ohali, Concordia University

M. Cheriet, University of Qu?bec

C. Y. Suen, Concordia University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047857

HMM is very well suited to model sequential patterns. This paper introduces a new parameter, the termination probability, to HMM. The new parameter provides a better initialization for the backward variable during the training and evaluation phases. This improves the discriminatory power of HMM by allowing the system to judge the input observation sequence based on where it is completed. Experimental results show the improvement achieved by this parameter.

Citation:

Y. Al-Ohali, M. Cheriet, C. Y. Suen, "Introducing Termination Probabilities to HMM," icpr, vol. 3, pp.30319, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002

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