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Proceedings Paper

Design and implementation of a support vector machine using an optoelectronic matrix-vector multiplier
Author(s): J. Gimeno; H. Lamela; M. Jiménez; M. González; M. Ruiz-Llata
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Paper Abstract

Support vector machines (SVM) present very interesting features in the field of image processing, but the intensive calculation needed complicates its use in real-time applications. We present an architecture for a SVM which simplifies most of the calculus using an optoelectronic matrix-vector multiplier (OMVM).

Paper Details

Date Published: 9 April 2007
PDF: 6 pages
Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 657604 (9 April 2007); doi: 10.1117/12.723555
Show Author Affiliations
J. Gimeno, Univ. Carlos III de Madrid (Spain)
H. Lamela, Univ. Carlos III de Madrid (Spain)
M. Jiménez, Univ. Carlos III de Madrid (Spain)
M. González, Univ. Carlos III de Madrid (Spain)
M. Ruiz-Llata, Univ. Carlos III de Madrid (Spain)


Published in SPIE Proceedings Vol. 6576:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V
Harold H. Szu; Jack Agee, Editor(s)

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