TY - GEN
T1 - Contextual estimation of Hidden Markov chains with application to image segmentation
AU - Derrode, S.
AU - BenYoussef, L.
AU - Pieczynski, W.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - This paper presents a contextual algorithm for the computation of Baum's forward and backward probabilities, which are intensively used in the framework of Hidden Markov Chain (HMC) models. The method differs from the original algorithm since it only takes into account a neighborhood of limited length and not all the chain for computations. Comparative experiments with respect to the neighborhood size have been conducted on both Markovian (simulations) and not Markovian (images) data, by mean of supervised and unsupervised classifications.
AB - This paper presents a contextual algorithm for the computation of Baum's forward and backward probabilities, which are intensively used in the framework of Hidden Markov Chain (HMC) models. The method differs from the original algorithm since it only takes into account a neighborhood of limited length and not all the chain for computations. Comparative experiments with respect to the neighborhood size have been conducted on both Markovian (simulations) and not Markovian (images) data, by mean of supervised and unsupervised classifications.
UR - https://www.scopus.com/pages/publications/33947621093
M3 - Conference contribution
AN - SCOPUS:33947621093
SN - 142440469X
SN - 9781424404698
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II689-II692
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -