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Proceedings Paper

Multimodal approach to feature extraction for image and signal learning problems
Author(s): Damian R. Eads; Steven J. Williams; James Theiler; Reid Porter; Neal R. Harvey; Simon J. Perkins; Steven P. Brumby; Nancy A. David
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Paper Abstract

We present ZEUS, an algorithm for extracting features from images and time series signals. ZEIS is designed to solve a variety of machine learning problems including time series forecasting, signal classification, image and pixel classification of multispectral and panchromatic imagery. An evolutionary approach is used to extract features from a near-infinite space of possible combinations of nonlinear operators. Each problem type (i.e. signal or image, regression or classification, multiclass or binary) has its own set of primitive operators. We employ fairly generic operators, but note that the choice of which operators to use provides an opportunity to consult with a domain expert. Each feature is produced from a composition of some subset of these primitive operators. The fitness for an evolved set of features is given by the performance of a back-end classifier (or regressor) on training data. We demonstrate our multimodal approach to feature extraction on a variety of problems in remote sensing. The performance of this algorithm will be compared to standard approaches, and the relative benefit of various aspects of the algorithm will be investigated.

Paper Details

Date Published: 30 December 2003
PDF: 12 pages
Proc. SPIE 5200, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, (30 December 2003); doi: 10.1117/12.506611
Show Author Affiliations
Damian R. Eads, Los Alamos National Lab. (United States)
Rochester Institute of Technology (United States)
Steven J. Williams, Los Alamos National Lab. (United States)
James Theiler, Los Alamos National Lab. (United States)
Reid Porter, Los Alamos National Lab. (United States)
Neal R. Harvey, Los Alamos National Lab. (United States)
Simon J. Perkins, Los Alamos National Lab. (United States)
Steven P. Brumby, Los Alamos National Lab. (United States)
Nancy A. David, Los Alamos National Lab. (United States)


Published in SPIE Proceedings Vol. 5200:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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