Bernard Merialdo, St'ephane Marchand-Maillet and Benoit Huet Institut Eurecom ...  Home/Search
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Abstract: While one-dimensional Hidden Markov Models havebeen very successfully applied to numerous problems, their extension to two dimensions has been shown to be exponentially complex, and this has very much restricted their usage for problems such as image analysis. (Update)
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BibTeX entry: (Update)
@misc{ st'ephane-approximate,
author = "Bernard Merialdo St'ephane",
title = "Approximate Viterbi Decoding For 2d-Hidden Markov Models",
url = "citeseer.ist.psu.edu/759444.html" }
Citations (may not include all citations):1362 A tutorial on Hidden Markov Models and selected applications.. (context) - Rabiner - 1989
653 Fundamentals of Speech Recognition (context) - Rabiner, Juang - 1993
262 Photobook: Content-Based Manipulation of Image Databases - Pentland, Picard et al. - 1996
193 Connectionist Speech Recognition -- A Hybrid Approach (context) - Bourlard, Morgan - 1994
38 A Society of Models for Video and Image Libraries - Picard - 1996
34 Keyword spotting in poorly printed documents using Pseudo 2-.. (context) - Kuo, Agazzi - 1994
21 Dynamic planar warping for optical character recognition (context) - Levin, Pieraccini - 1992
6 line handwritten formula recognition using statistical metho.. - Kosmala, Rigoll - 1998
1 Automatic keyword recognition using Hidden Markov Models (context) - Kuo, Agazzi - 1994
1 Image Classification byaTwo Dimensional Hidden MarkovModel (context) - Li, Najmi et al. - 1999
1 Bi-level image reconstructions via 2-D Viterbi search (context) - Miller, Hunt et al. - 1997
1 Stochastic models for face image analysis (context) - Marchand-Maillet, Merialdo - 1999
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