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Per-Sample Multiple Kernel Approach for Visual Concept Learning

文献类型：期刊论文

作者Yang, Jingjing1,2,3; Li, Yuanning1,2,3; Tian, Yonghong2; Duan, Ling-Yu2; Gao, Wen1,2
刊名EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
出版日期2010
页码13
ISSN号1687-5281
DOI10.1155/2010/461450
英文摘要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 appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL) approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.
资助项目Chinese National Natural Science Foundation[60605020] ; Chinese National Natural Science Foundation[60973055] ; Chinese National Natural Science Foundation[60902057] ; Chinese National Natural Science Foundation[90820003] ; National Hi-Tech R and D Program (863) of China[2006AA010105] ; National Basic Research Program of China[2009CB320906]
WOS研究方向Engineering ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000285113400001
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/12284]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Tian, Yonghong
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
2.Peking Univ, Natl Engn Lab Video Technol, Sch EE & CS, Beijing 100871, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Jingjing,Li, Yuanning,Tian, Yonghong,et al. Per-Sample Multiple Kernel Approach for Visual Concept Learning[J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING,2010:13.
APA Yang, Jingjing,Li, Yuanning,Tian, Yonghong,Duan, Ling-Yu,&Gao, Wen.(2010).Per-Sample Multiple Kernel Approach for Visual Concept Learning.EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING,13.
MLA Yang, Jingjing,et al."Per-Sample Multiple Kernel Approach for Visual Concept Learning".EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2010):13.

入库方式： OAI收割

来源：计算技术研究所

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