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Proceedings Paper

Early breast tumor and late SARS detections using space-variant multispectral infrared imaging at a single pixel
Author(s): Harold H. Szu; James R. Buss; Ivica Kopriva
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Paper Abstract

We proposed the physics approach to solve a physical inverse problem, namely to choose the unique equilibrium solution (at the minimum free energy: H= E - ToS, including the Wiener, l.m.s E, and ICA, Max S, as special cases). The "unsupervised classification" presumes that required information must be learned and derived directly and solely from the data alone, in consistence with the classical Duda-Hart ATR definition of the "unlabelled data". Such truly unsupervised methodology is presented for space-variant imaging processing for a single pixel in the real world case of remote sensing, early tumor detections and SARS. The indeterminacy of the multiple solutions of the inverse problem is regulated or selected by means of the absolute minimum of isothermal free energy as the ground truth of local equilibrium condition at the single-pixel foot print.

Paper Details

Date Published: 12 April 2004
PDF: 15 pages
Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); doi: 10.1117/12.548916
Show Author Affiliations
Harold H. Szu, Office of Naval Research (United States)
George Washington Univ. (United States)
Naval Surface Warfare Ctr. (United States)
James R. Buss, Office of Naval Research (United States)
Ivica Kopriva, George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 5439:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II
Harold H. Szu; Mladen V. Wickerhauser; Barak A. Pearlmutter; Wim Sweldens, Editor(s)

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