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» A Practical Method for the Sparse Resultant
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ICASSP
2011
IEEE
14 years 1 months ago
Sparse channel estimation with lp-norm and reweighted l1-norm penalized least mean squares
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
Omid Taheri, Sergiy A. Vorobyov
RECOMB
2005
Springer
15 years 10 months ago
A Practical Approach to Significance Assessment in Alignment with Gaps
Abstract. Current numerical methods for assessing the statistical significance of local alignments with gaps are time consuming. Analytical solutions thus far have been limited to ...
Nicholas Chia, Ralf Bundschuh
MMM
2009
Springer
218views Multimedia» more  MMM 2009»
15 years 6 months ago
Sparse Multiscale Patches (SMP) for Image Categorization
Abstract. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMPs are based on a multiscale t...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
ICASSP
2009
IEEE
15 years 4 months ago
Sparse source separation from orthogonal mixtures
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
Moshe Mishali, Yonina C. Eldar
APLAS
2004
ACM
15 years 3 months ago
A MATLAB-Based Code Generator for Sparse Matrix Computations
Abstract. We present a matrix language compiler CMC which translates annotated MATLAB scripts into Fortran 90 programs. Distinguishing features of CMC include its applicability to ...
Hideyuki Kawabata, Mutsumi Suzuki, Toshiaki Kitamu...