12 April 2004 Early breast tumor and late SARS detections using space-variant multispectral infrared imaging at a single pixel
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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.
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Harold H. Szu, James R. Buss, Ivica Kopriva, "Early breast tumor and late SARS detections using space-variant multispectral infrared imaging at a single pixel", Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); doi: 10.1117/12.548916; https://doi.org/10.1117/12.548916
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KEYWORDS
Synthetic aperture radar

Tumors

Breast

Infrared imaging

Multispectral imaging

Inverse problems

Image processing

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