Sparse Coding from a Bayesian Perspective

doi:10.1109/TNNLS.2013.2245914

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	Sparse Coding from a Bayesian Perspective
	Lu, Xiaoqiang1 ; Wang, Yulong 1,2; Yuan, Yuan1
	2013-06-01
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号	24 期号:6 页码:929-939
摘要	Sparse coding is a promising theme in computer vision. Most of the existing sparse coding methods are based on either l(0) or l(1) penalty, which often leads to unstable solution or biased estimation. This is because of the nonconvexity and discontinuity of the l(0) penalty and the over-penalization on the true large coefficients of the l(1) penalty. In this paper, sparse coding is interpreted from a novel Bayesian perspective, which results in a new objective function through maximum a posteriori estimation. The obtained solution of the objective function can generate more stable results than the l(0) penalty and smaller reconstruction errors than the l(1) penalty. In addition, the convergence property of the proposed algorithm for sparse coding is also established. The experiments on applications in single image super-resolution and visual tracking demonstrate that the proposed method is more effective than other state-of-the-art methods.
文章类型	Article
关键词	Bayesian Compressive Sensing (Cs) Computer Vision Maximum a Posteriori (Map) Sparse Coding
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TNNLS.2013.2245914
收录类别	SCI ; EI
关键词[WOS]	VARIABLE SELECTION ; REPRESENTATION ; REGRESSION ; LASSO ; DICTIONARIES ; RECOGNITION ; TRACKING ; MODEL
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000317786000007
引用统计	被引频次：47[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/181661/23436
专题	光谱成像技术研究室
作者单位	1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China 2.Hubei Univ, Fac Math & Comp Sci, Wuhan 430062, Peoples R China
推荐引用方式 GB/T 7714	Lu, Xiaoqiang,Wang, Yulong,Yuan, Yuan. Sparse Coding from a Bayesian Perspective[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2013,24(6):929-939.
APA	Lu, Xiaoqiang,Wang, Yulong,&Yuan, Yuan.(2013).Sparse Coding from a Bayesian Perspective.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,24(6),929-939.
MLA	Lu, Xiaoqiang,et al."Sparse Coding from a Bayesian Perspective".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 24.6(2013):929-939.

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