Group Sparse Multiview Patch Alignment Framework With View Consistency   for Image Classification

doi:10.1109/TIP.2014.2326001

CORC > 北京大学 > 信息科学技术学院

	Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification
	Gui, Jie ; Tao, Dacheng ; Sun, Zhenan ; Luo, Yong ; You, Xinge ; Tang, Yuan Yan
刊名	ieee transactions on image processing
	2014
关键词	Group sparse multiview learning patch alignment framework view consistency joint feature extraction and feature selection NONLINEAR DIMENSIONALITY REDUCTION SPECTRAL REGRESSION FEATURE-SELECTION FEATURE FUSION RECOGNITION CLASSIFIERS PROJECTIONS ANNOTATION DOCUMENTS FACE
DOI	10.1109/TIP.2014.2326001
英文摘要	No single feature can satisfactorily characterize the semantic concepts of an image. Multiview learning aims to unify different kinds of features to produce a consensual and efficient representation. This paper redefines part optimization in the patch alignment framework (PAF) and develops a group sparse multiview patch alignment framework (GSM-PAF). The new part optimization considers not only the complementary properties of different views, but also view consistency. In particular, view consistency models the correlations between all possible combinations of any two kinds of view. In contrast to conventional dimensionality reduction algorithms that perform feature extraction and feature selection independently, GSM-PAF enjoys joint feature extraction and feature selection by exploiting l(2,1)-norm on the projection matrix to achieve row sparsity, which leads to the simultaneous selection of relevant features and learning transformation, and thus makes the algorithm more discriminative. Experiments on two real-world image data sets demonstrate the effectiveness of GSM-PAF for image classification.; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; SCI(E); EI; 6; ARTICLE; guijie@ustc.edu; dacheng.tao@uts.edu.au; znsun@nlpr.ia.ac.cn; yluo180@gmail.com; youxg@mail.hust.edu.cn; yuanyant@gmail.com; 7; 3126-3137; 23
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/248083]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gui, Jie,Tao, Dacheng,Sun, Zhenan,et al. Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification[J]. ieee transactions on image processing,2014.
APA	Gui, Jie,Tao, Dacheng,Sun, Zhenan,Luo, Yong,You, Xinge,&Tang, Yuan Yan.(2014).Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification.ieee transactions on image processing.
MLA	Gui, Jie,et al."Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification".ieee transactions on image processing (2014).