# Bregman divergence

## Papers overview

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2011

2011

- UAI
- 2011

We show that the Bregman divergence provides a rich framework to estimate unnormalized statistical models for continuous or… (More)

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2010

Highly Cited

2010

- IEEE Transactions on Knowledge and Data…
- 2010

The regularization principals [31] lead approximation schemes to deal with various learning problems, e.g., the regularization of… (More)

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2010

Highly Cited

2010

- J. Visual Communication and Image Representation
- 2010

The restoration of blurred images corrupted by Poisson noise is an important task in various applications such as astronomical… (More)

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2009

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2009

- IEEE Transactions on Information Theory
- 2009

A divergence measure between two probability distributions or positive arrays (positive measures) is a useful tool for solving… (More)

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2009

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2009

- IEEE Transactions on Information Theory
- 2009

In this paper, we generalize the notions of centroids (and barycenters) to the broad class of information-theoretic distortion… (More)

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2007

Highly Cited

2007

- SIAM J. Matrix Analysis Applications
- 2007

This paper discusses a new class of matrix nearness problems that measure approximation error using a directed distance measure… (More)

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2005

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2005

- NIPS
- 2005

Nonnegative matrix approximation (NNMA) is a recent technique for dimensionality reduction and data analysis that yields a parts… (More)

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2004

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2004

- SDM
- 2004

A wide variety of distortion functions, such as squared Eucl idean distance, Mahalanobis distance, Itakura-Saito distance and… (More)

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2004

Highly Cited

2004

- Neural Computation
- 2004

We aim at an extension of AdaBoost to U-Boost, in the paradigm to build a stronger classification machine from a set of weak… (More)

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2004

Highly Cited

2004

- KDD
- 2004

Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and… (More)

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