Image category learning and classification via optimal linear combination of multiple partially matching kernels

	Image category learning and classification via optimal linear combination of multiple partially matching kernels
	Fu, Si-Yao 1; Yang, Guo-Sheng 1; Hou, Zeng-Guang2
发表期刊	SOFT COMPUTING
	2010
卷号	14 期号:2 页码:181-192
文章类型	Article
摘要	Multiple kernel learning (MKL) aims at simultaneously optimizing kernel weights while training the support vector machine (SVM) to get satisfactory classification or regression results. Recent publications and developments based on SVM have shown that by using MKL one can enhance interpretability of the decision function and improve classifier performance, which motivates researchers to explore the use of homogeneous model obtained as linear combination of various types of kernels. In this paper, we show that MKL problems can be solved efficiently by modified projection gradient method and applied for image categorization and object detection. The kernel is defined as a linear combination of feature histogram function that can measure the degree of similarity of partial correspondence between feature sets for discriminative classification, which allows recognition robust to within-class variation, pose changes, and articulation. We evaluate our proposed framework on the ETH-80 dataset for several multi-level image encodings for supervised and unsupervised object recognition and report competitive results.
关键词	Machine Learning Object Recognition Kernel Based Learning Pyramid Match Kernel
WOS标题词	Science & Technology ; Technology
关键词[WOS]	RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000269863700011
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3445
专题	复杂系统认知与决策实验室_先进机器人
作者单位	1.Cent Univ Nationalities, Sch Informat & Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Fu, Si-Yao,Yang, Guo-Sheng,Hou, Zeng-Guang. Image category learning and classification via optimal linear combination of multiple partially matching kernels[J]. SOFT COMPUTING,2010,14(2):181-192.
APA	Fu, Si-Yao,Yang, Guo-Sheng,&Hou, Zeng-Guang.(2010).Image category learning and classification via optimal linear combination of multiple partially matching kernels.SOFT COMPUTING,14(2),181-192.
MLA	Fu, Si-Yao,et al."Image category learning and classification via optimal linear combination of multiple partially matching kernels".SOFT COMPUTING 14.2(2010):181-192.