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Feature data optimization with LVQ technique in semantic image annotation

ISDA, pp.906-911, (2010)

Cited by: 11|Views16
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Abstract

In order to improve the classifier performance in semantic image annotation, we propose a novel method which adopts learning vector quantization (LVQ) technique to optimize low level feature data extracted from given image. Some representative vectors are selected with LVQ to train support vector machine (SVM) classifier instead of using ...More

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