Design and implementation of a support vector machine using an optoelectronic matrix-vector multiplier

被引：1

作者：

Gimeno, J. ^{[1
]}

Lamela, H. ^{[1
]}

Jimenez, M. ^{[1
]}

Gonzalez, M. ^{[1
]}

Ruiz-Llata, M. ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Madrid, Spain

来源：

INDEPENDENT COMPONENT ANALYSES, WAVELETS, UNSUPERVISED NANO-BIOMIMETIC SENSORS, AND NEURAL NETWORKS V | 2007年 / 6576卷

关键词：

support vector machines (SVMs); optoelectronic matrix-vector multiplier (OMVM); image processing and classification;

D O I：

10.1117/12.723555

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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).

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页数：6

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