Paper
30 August 2005 Spatial random trees with applications to image classification
Wiley Wang, Ilya Pollak, Mary P. Harper, Charles A. Bouman
Author Affiliations +
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.
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Wiley Wang, Ilya Pollak, Mary P. Harper, and Charles A. Bouman "Spatial random trees with applications to image classification", Proc. SPIE 5916, Mathematical Methods in Pattern and Image Analysis, 59160S (30 August 2005); https://doi.org/10.1117/12.615513
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Cited by 1 scholarly publication.
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KEYWORDS
Image classification

Associative arrays

Algorithm development

Expectation maximization algorithms

Stochastic processes

Image processing algorithms and systems

Data modeling

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