Sparse Coding Based Image Restoration and Recognition: Algorithms and Analysis

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/118214

DC Field	Value
dc.title	Sparse Coding Based Image Restoration and Recognition: Algorithms and Analysis
dc.contributor.author	BAO CHENGLONG
dc.date.accessioned	2014-12-31T18:00:47Z
dc.date.available	2014-12-31T18:00:47Z
dc.date.issued	2014-08-11
dc.identifier.citation	BAO CHENGLONG (2014-08-11). Sparse Coding Based Image Restoration and Recognition: Algorithms and Analysis. ScholarBank@NUS Repository.
dc.identifier.uri	http://scholarbank.nus.edu.sg/handle/10635/118214
dc.description.abstract	In this dissertation, we aim at developing fast numerical methods to solve variational problems often seen in practical sparse coding problems. Furthermore, the convergence analysis of these proposed methods are also established in this dissertation.
dc.language.iso	en
dc.subject	Sparse coding, dictionary learning, non-convex optimization
dc.type	Thesis
dc.contributor.department	MATHEMATICS
dc.contributor.supervisor	JI HUI
dc.contributor.supervisor	SUN DEFENG
dc.description.degree	Ph.D
dc.description.degreeconferred	DOCTOR OF PHILOSOPHY
dc.identifier.isiut	NOT_IN_WOS
Appears in Collections:	Ph.D Theses (Open)

File	Description	Size	Format	Access Settings	Version
thesis_bao_final.pdf		9.26 MB	Adobe PDF	OPEN	None	View/Download

Check