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Proceedings Paper

Spatial random trees with applications to image classification
Author(s): Wiley Wang; Ilya Pollak; Mary P. Harper; Charles A. Bouman
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Paper Abstract

We develop a new methodology for constructing hierarchical stochastic image models called spatial random trees (SRTs) which admit polynomial-complexity exact inference algorithms. We use our framework of multitree dictionaries as the starting point for this construction. We develop an efficient algorithm for computing the EM updates and use it to estimate the model parameters. We illustrate our models and algorithms through image classification experiments.

Paper Details

Date Published: 30 August 2005
PDF: 9 pages
Proc. SPIE 5916, Mathematical Methods in Pattern and Image Analysis, 59160S (30 August 2005); doi: 10.1117/12.615513
Show Author Affiliations
Wiley Wang, Purdue Univ. (United States)
Ilya Pollak, Purdue Univ. (United States)
Mary P. Harper, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 5916:
Mathematical Methods in Pattern and Image Analysis
Jaakko T. Astola; Ioan Tabus; Junior Barrera, Editor(s)

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