Fast Query-Optimized Kernel-Machine Classification

TBMG-665

10/01/2004

Abstract
Content

A recently developed algorithm performs kernel-machine classification via incremental approximate nearest support vectors. The algorithm implements support-vector machines (SVMs) at speeds 10 to 100 times those attainable by use of conventional SVM algorithms. The algorithm offers potential benefits for classification of images, recognition of speech, recognition of handwriting, and diverse other applications in which there are requirements to discern patterns in large sets of data.

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Citation
"Fast Query-Optimized Kernel-Machine Classification," Mobility Engineering, October 1, 2004.
Additional Details
Publisher
Published
Oct 1, 2004
Product Code
TBMG-665
Content Type
Magazine Article
Language
English