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Combining LVQ with SVM technique for image semantic annotation

Neural Computing and Applications, no. 4 (2012): 735-746

Cited by: 5|Views16
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Abstract

When support vector machine (SVM) classifier is applied to image semantic annotation, it usually encounters the problem of excessive training samples. In this paper, we propose a novel method, which is by combining learning vector quantization (LVQ) technique and SVM classifier, to improve annotation accuracy and speed. Affinity propagati...More

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