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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
144
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ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
132
Voted
TASLP
2008
15 years 3 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
125
Voted
NIPS
2008
15 years 5 months ago
2008
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
164
Voted
3DPVT
2004
IEEE
15 years 7 months ago
2004
IEEE
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...