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- W1131488788 abstract "Automatic image annotation(AIA)has become an important and challenging problem in computer vision due to the existence of semantic gap.In this paper,a novel support vector machine with mixture of kernels(SVM-MK)for automatic image annotation is proposed.On one hand,the combined global and local block-based image features are extracted in order to reflect the intrinsic content of images as complete as possible.On the other hand,SVM-MK is constructed to shoot for better annotating performance.Experimental results on Corel dataset show that the proposed image feature representation method as well as automatic image annotation classifier,SVM-MK,can achieve higher annotating accuracy than SVM with any single kernel and mi-SVM for semantic image annotation." @default.
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- W1131488788 date "2013-01-01" @default.
- W1131488788 modified "2023-10-12" @default.
- W1131488788 title "Support vector machine with mixture of kernels for automatic image annotation" @default.
- W1131488788 hasPublicationYear "2013" @default.
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