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IDEAL
2005
Springer

Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval

10 years 4 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A possible approach to cope with that fact is to get a whole view of the image(object). Then using machine learning approach from user’s Relevance feedback to obtain a reduced feature. In this paper, we concentrate on some points about Biased Discriminant Analysis / Kernel Biased Discriminant Analysis (BDA/KBDA) based machine learning approach for CBIR. The
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IDEAL
Authors Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhardt
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