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This paper discusses a new greedy algorithm for solving the sparse approximation problem over quasi-...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Abstract. Recently, sparse coding has been widely used in many ap-plications ranging from image reco...
This work was supported by the Queen Mary University of London School Studentship, the EU FET-Open p...
This article deals with learning dictionaries for sparse approximation whose atoms are both adapted ...
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper discusses a new greedy algorithm for solving the sparse approximation problem over quasi-...
PhDOver-complete transforms have recently become the focus of a wide wealth of research in signal p...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Dictionary learning problem has become an active topic for decades. Most existing learning methods t...
Optimizing the mutual coherence of a learned dictionary plays an important role in sparse representa...
Recent years have witnessed a growing interest in the sparse representation problem. Prior work demo...
In this paper, we consider the dictionary learning problem for the sparse analysis model. A novel al...
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to...
Recent years have witnessed a growing interest in the sparse representation problem. Prior work demo...
This paper discusses a new greedy algorithm for solving the sparse approximation problem over quasi-...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Abstract. Recently, sparse coding has been widely used in many ap-plications ranging from image reco...
This work was supported by the Queen Mary University of London School Studentship, the EU FET-Open p...
This article deals with learning dictionaries for sparse approximation whose atoms are both adapted ...
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper discusses a new greedy algorithm for solving the sparse approximation problem over quasi-...
PhDOver-complete transforms have recently become the focus of a wide wealth of research in signal p...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Dictionary learning problem has become an active topic for decades. Most existing learning methods t...
Optimizing the mutual coherence of a learned dictionary plays an important role in sparse representa...
Recent years have witnessed a growing interest in the sparse representation problem. Prior work demo...
In this paper, we consider the dictionary learning problem for the sparse analysis model. A novel al...
This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to...
Recent years have witnessed a growing interest in the sparse representation problem. Prior work demo...
This paper discusses a new greedy algorithm for solving the sparse approximation problem over quasi-...
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Abstract. Recently, sparse coding has been widely used in many ap-plications ranging from image reco...