Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density FunctionsThis paper was submitted to IEEE Trans. NN on 16 December 1991. Paper TNN #1115. It was not accepted for publication, but it underpins several subsequently published papers
نویسنده
چکیده
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.
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