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A. A. Al-Shaher and E. R. Hancock
ABSTRACT
We present a fast procedure for training point distribution models (PDM) 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. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Fast on-line learning of point distribution modelsSite generated on Friday, 06 January 2006