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Proceedings Paper

Recent progresses of neural network unsupervised learning: part IIreal world applications
Author(s): Harold H. Szu
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Paper Abstract

ICA has been mostly demonstrated by computer simulation, and is not mature enough for general application in real world. The main assumptions are (1) instantaneous mixture, (2) linear mixture, (3) discrete and finite sources, which are satisfied such as the remote sensing subpixel composition, speech segmentation by means of ICA de-hyphenation, and digital TV bandwidth enhancement by simultaneously mixing sport and move entertainment events.

Paper Details

Date Published: 22 March 1999
PDF: 24 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342954
Show Author Affiliations
Harold H. Szu, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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