Bregman method

Known as: Bregman 
Bregman's method is an iterative algorithm to solve certain convex optimization problems. The algorithm is a row-action method accessing constraint… (More)
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Papers overview

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2014
2014
In this paper we address the problem of recovering a matrix, with inherent low rank structure, from its lower dimensional… (More)
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2011
2011
We consider the problem of covariance matrix estimation in the presence of latent variables. Under suitable conditions, it is… (More)
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2011
2011
Abstract: Ordering of regression or classification coefficients occurs in many real-world applications. Fused Lasso exploits this… (More)
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Highly Cited
2010
Highly Cited
2010
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization… (More)
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Highly Cited
2010
Highly Cited
2010
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex… (More)
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Highly Cited
2010
Highly Cited
2010
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on… (More)
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2010
2010
Traditional clustering methods deal with a single clustering task on a single data set. In some newly emerging applications… (More)
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Highly Cited
2009
Highly Cited
2009
 
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Highly Cited
2004
Highly Cited
2004
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and… (More)
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