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MCS
2002
Springer

On Combining One-Class Classifiers for Image Database Retrieval

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On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers from class overlap. We propose a novel approach for describing clouds of points based on support vector data description (SVDD). We show that combining SVDD-based classifiers improves the retrieval precision. We investigate the performance of the proposed retrieval technique on a database of 368 texture images and compare it to other methods.
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where MCS
Authors Carmen Lai, David M. J. Tax, Robert P. W. Duin, Elzbieta Pekalska, Pavel Paclík
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