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ICIP
2006
IEEE
16 years 5 months ago
Sparse Image Reconstruction for Partially known Blur Functions
In this paper, we consider the problem of image reconstruction from the noisy blurred version of an original image when the blurring operator is partially known and the original i...
Raviv Raich, Alfred O. Hero
ICASSP
2010
IEEE
15 years 3 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
185
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ICASSP
2011
IEEE
14 years 7 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
ICASSP
2011
IEEE
14 years 7 months ago
Exploiting sparseness of backing-off language models for efficient look-ahead in LVCSR
In this paper, we propose a new method for computing and applying language model look-ahead in a dynamic network decoder, exploiting the sparseness of backing-off n-gram language ...
David Nolden, Hermann Ney, Ralf Schlüter
ICASSP
2008
IEEE
15 years 10 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin