Paper
9 April 2007 Design and implementation of a support vector machine using an optoelectronic matrix-vector multiplier
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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).
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Gimeno, H. Lamela, M. Jiménez, M. González, and M. Ruiz-Llata "Design and implementation of a support vector machine using an optoelectronic matrix-vector multiplier", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 657604 (9 April 2007); https://doi.org/10.1117/12.723555
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Cited by 1 scholarly publication.
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KEYWORDS
Optoelectronics

Image classification

Image processing

Calculus

Digital electronics

Multiplexers

Neural networks

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