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Highly Cited

2011

Highly Cited

2011

This letter describes algorithms for nonnegative matrix factorization (NMF) with the β-divergence (β-NMF). The β-divergence is a… Expand

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Highly Cited

2008

Highly Cited

2008

We present a method for estimating the KL divergence between continuous densities and we prove it converges almost surely… Expand

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Highly Cited

2007

Highly Cited

2007

The Kullback Leibler (KL) divergence is a widely used tool in statistics and pattern recognition. The KL divergence between two… Expand

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Highly Cited

2005

Highly Cited

2005

This paper presents a unifying view of messagepassing algorithms, as methods to approximate a complex Bayesian network by a… Expand

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Highly Cited

2004

Highly Cited

2004

A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and… Expand

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Highly Cited

2003

Highly Cited

2003

Over the last years significant efforts have been made to develop kernels that can be applied to sequence data such as DNA, text… Expand

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Highly Cited

2003

Highly Cited

2003

We introduce a Kullback-Leibler (1968) -type distance between spectral density functions of stationary stochastic processes and… Expand

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Highly Cited

2001

Highly Cited

2001

We describe an information-theoretic paradigm for analysis of ecological data, based on Kullback–Leibler information, that is an… Expand

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Highly Cited

2001

Highly Cited

2001

We define a new distance measure the resistor-average distance between two probability distributions that is closely related to… Expand

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Highly Cited

1991

Highly Cited

1991

A novel class of information-theoretic divergence measures based on the Shannon entropy is introduced. Unlike the well-known… Expand

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