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Pattern Recognition, International Conference on (2002)
Quebec City, QC, Canada
Aug. 11, 2002 to Aug. 15, 2002
ISSN: 1051-4651
ISBN: 0-7695-1695-X
pp: 20208
Abdullah A. Al-Shaher , University of York
Edwin R. Hancock , University of York
ABSTRACT
In this paper, we present a fast procedure for training point distribution models using the EM algorithm. Rather than estimating the class means and covariance matrices needed to construct the PDM, the method iteratively refines the eigenvectors of the covariance matrix using a gradient ascent technique. We evaluate the method on the problem of learning class-structure of Arabic characters.
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CITATION

A. A. Al-Shaher and E. R. Hancock, "Fast On-Line learning of Point Distribution Models," Pattern Recognition, International Conference on(ICPR), Quebec City, QC, Canada, 2002, pp. 20208.
doi:10.1109/ICPR.2002.1048274
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