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SIAMSC
2010
127views more  SIAMSC 2010»
14 years 7 months ago
A Nonlinear Optimization Procedure for Generalized Gaussian Quadratures
We present a new nonlinear optimization procedure for the computation of generalized Gaussian quadratures for a broad class of square integrable functions on intervals. While some ...
James Bremer, Zydrunas Gimbutas, Vladimir Rokhlin
TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICML
2010
IEEE
14 years 10 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
MP
2002
101views more  MP 2002»
14 years 9 months ago
Componentwise fast convergence in the solution of full-rank systems of nonlinear equations
The asymptotic convergence of parameterized variants of Newton's method for the solution of nonlinear systems of equations is considered. The original system is perturbed by a...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...
ICASSP
2011
IEEE
14 years 1 months ago
Linear time decoding of real-field codes over high error rate channels
This paper proposes a novel algorithm for decoding real-field codes over erroneous channels, where the encoded message is corrupted by sparse errors, i.e., impulsive noise. The m...
Zaixing He, Takahiro Ogawa, Miki Haseyama