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» On the convergence of Hill's method
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ICA
2010
Springer
15 years 2 months ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
COMPUTING
2007
103views more  COMPUTING 2007»
15 years 1 months ago
An algebraic approach for H-matrix preconditioners
Hierarchical matrices (H-matrices) approximate matrices in a data-sparse way, and the approximate arithmetic for H-matrices is almost optimal. In this paper we present an algebrai...
S. Oliveira, F. Yang
IVC
2008
142views more  IVC 2008»
15 years 1 months ago
3D-spline reconstruction using shape from shading: Spline from shading
In this work, we propose an original method of resolution of the shape from shading problem, which is accurate and converges with a few iterations. It relies on two simple ideas. ...
Frédéric Courteille, Alain Crouzil, ...
CSDA
2007
134views more  CSDA 2007»
15 years 1 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
80
Voted
TCSV
2008
87views more  TCSV 2008»
15 years 1 months ago
On Iterative Regularization and Its Application
Many existing techniques for image restoration can be expressed in terms of minimizing a particular cost function. Iterative regularization methods are a novel variation on this th...
Michael R. Charest, Peyman Milanfar