Applications of Clifford support vector machines and Clifford moments for classification

被引：0

作者：

Bayro-Corrochano, E ^{[1
]}

Arana-Daniel, N ^{[1
]}

Vallejo-Gutierrez, R ^{[1
]}

机构：

[1] Ctr Invest & Estudios Avanzados, Dept Comp Sci, GEOVIS Lab, Guadalajara 44550, Jalisco, Mexico

来源：

2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年

关键词：

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：

This paper introduces the Clifford Support Vector Machines as a generalization of the real- and complex- valued Support Vector Machines using the Clifford geometric algebra. In this framework we handle the design of kernels involving the Clifford or geometric product for linear and nonlinear classification. We present an interesting application to classify mechanical tools using the concept of Clifford moments which is invariant under affine transformations.

引用

页码：3003 / 3008

页数：6

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