Dissipative functional microarrays for classification of crystallization patterns

Abstract

In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be surprisingly effective for enhancing classification of high resolution, texturerich data as in our case study of crystallization patterns. Our algorithm bypasses to some extent the need to have very specialized feature… (More)

Topics

8 Figures and Tables

Cite this paper

@inproceedings{Napoletani2006DissipativeFM, title={Dissipative functional microarrays for classification of crystallization patterns}, author={Domenico Napoletani}, year={2006} }