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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Bibliographic Details
Main Authors: Tian Yonghong, Duan Ling-Yu, Yang Jingjing, Li Yuanning, Gao Wen
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://jivp.eurasipjournals.com/content/2010/461450