Log-domain binary SVM image classifier

被引：0

作者：

Groza, Robert ^{[1
]}

Festila, Lelia ^{[1
]}

Hintea, Sorin ^{[1
]}

Cirlugea, Mihaela ^{[1
]}

机构：

[1] Tech Univ Cluj Napoca, Basis Elect Dept, Cluj Napoca 40027, Romania

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2008年 / 5179卷

关键词：

log-domain; SVM classifier; current multiplier;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose in this paper a binary log-domain Support Vector Machine classifier based on a polynomial decision function. To implement such a classifier log-domain multipliers proposed by the authors are used. For the parallel-serial implementation a log-domain summing amplifier and a current mode comparator are also needed. Current mode log-domain design is used for its low voltage, low power and high frequency characteristics. The resulted classifier is simulated taking into account real parameters of transistors in BiCMOS technology.

引用

页码：368 / 375

页数：8

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