Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density Functions
Neural and Evolutionary Computing
2010-12-17 v1 Computer Vision and Pattern Recognition
Abstract
We derive an adaptive hierarchical method of estimating high dimensional probability density functions. We call this method of density estimation the "adaptive cluster expansion" or ACE for short. We present an application of this approach, based on a multilayer topographic mapping network, that adaptively estimates the joint probability density function of the pixel values of an image, and presents this result as a "probability image". We apply this to the problem of identifying statistically anomalous regions in otherwise statistically homogeneous images.
Cite
@article{arxiv.1012.3656,
title = {Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density Functions},
author = {Stephen Luttrell},
journal= {arXiv preprint arXiv:1012.3656},
year = {2010}
}
Comments
20 pages, 14 figures