66 search results - page 5 / 14 » Thresholded smoothed-l0(SL0) dictionary learning for sparse ... |
82
Voted
TSP
2008
14 years 9 months ago
2008
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
175
Voted
NIPS
2008
14 years 11 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
Sparse coding is a new field in signal processing with possible applications to source coding. In this paper we present a new method that combines the problems of sparse signal a...
70
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper analyzes the performance of the simple thresholding algorithm for sparse signal representations. In particular, in order to be more realistic we introduce a new probabi...
101
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TIP
2008
14 years 9 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...