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Per-Sample Multiple Kernel Approach for Visual Concept Learning

<p>Abstract</p> <p>Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL) methods have shown great advantages in visual concept learning. As a visual concept often exhibits great...

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Main Authors: Tian Yonghong, Duan Ling-Yu, Yang Jingjing, Li Yuanning, Gao Wen
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2010-01-01
Colecção:EURASIP Journal on Image and Video Processing
Acesso em linha:http://jivp.eurasipjournals.com/content/2010/461450
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