# MM algorithm

## Papers overview

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2015

2015

- 2015

Variance components estimation and mixed model analysis are central themes in statistics with applications in numerous scientific… (More)

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Review

2014

Review

2014

- 2014

Deconvolution refers to the problem of estimating the unknown input to an LTI system when the output signal and system response… (More)

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2014

2014

- 2014

Total variation denoising (TVD) is an approach for noise reduction developed so as to preserve sharp edges in the underlying… (More)

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2014

2014

- Math. Program.
- 2014

This paper derives new algorithms for signomial programming, a generalization of geometric programming. The algorithms are based… (More)

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Highly Cited

2011

Highly Cited

2011

- Neural Computation
- 2011

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

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Highly Cited

2010

Highly Cited

2010

- ArXiv
- 2010

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

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Highly Cited

2007

Highly Cited

2007

- IEEE Transactions on Image Processing
- 2007

The majorize-minimize (MM) optimization technique has received considerable attention in signal and image processing applications… (More)

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Highly Cited

2006

Highly Cited

2006

- J. Intellig. Transport. Systems
- 2006

Recent research on map matching algorithms for land vehicle navigation has been based on either a conventional topological… (More)

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2005

2005

- 2005

It is well known that the likelihood sequence of the EM algorithm is nondecreasing and convergent (Dempster, Laird and Rubin… (More)

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Highly Cited

2003

Highly Cited

2003

- IEEE Trans. Computers
- 2003

This paper presents a scalable architecture for the computation of modular multiplication, based on the Montgomery multiplication… (More)

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