Semi-Supervised Multitask Learning for Scene Recognition

doi:10.1109/TCYB.2014.2362959

OPT OpenIR > 光谱成像技术研究室

	Semi-Supervised Multitask Learning for Scene Recognition
	Lu, Xiaoqiang; Li, Xuelong; Mou, Lichao
	2015-09-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
卷号	45 期号:9 页码:1967-1976
摘要	Scene recognition has been widely studied to understand visual information from the level of objects and their relationships. Toward scene recognition, many methods have been proposed. They, however, encounter difficulty to improve the accuracy, mainly due to two limitations: 1) lack of analysis of intrinsic relationships across different scales, say, the initial input and its down-sampled versions and 2) existence of redundant features. This paper develops a semi-supervised learning mechanism to reduce the above two limitations. To address the first limitation, we propose a multitask model to integrate scene images of different resolutions. For the second limitation, we build a model of sparse feature selection-based manifold regularization (SFSMR) to select the optimal information and preserve the underlying manifold structure of data. SFSMR coordinates the advantages of sparse feature selection and manifold regulation. Finally, we link the multitask model and SFSMR, and propose the semi-supervised learning method to reduce the two limitations. Experimental results report the improvements of the accuracy in scene recognition.
文章类型	Article
关键词	Manifold Regularized Multitask Learning Scene Recognition Sparse Selection
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TCYB.2014.2362959
收录类别	SCI ; EI
关键词[WOS]	OBJECT DETECTION ; IMAGE RETRIEVAL ; CLASSIFICATION ; SEGMENTATION ; MODEL
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000360019000021
引用统计	被引频次：139[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/25359
专题	光谱成像技术研究室
作者单位	Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Lu, Xiaoqiang,Li, Xuelong,Mou, Lichao. Semi-Supervised Multitask Learning for Scene Recognition[J]. IEEE TRANSACTIONS ON CYBERNETICS,2015,45(9):1967-1976.
APA	Lu, Xiaoqiang,Li, Xuelong,&Mou, Lichao.(2015).Semi-Supervised Multitask Learning for Scene Recognition.IEEE TRANSACTIONS ON CYBERNETICS,45(9),1967-1976.
MLA	Lu, Xiaoqiang,et al."Semi-Supervised Multitask Learning for Scene Recognition".IEEE TRANSACTIONS ON CYBERNETICS 45.9(2015):1967-1976.

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