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[[http://web.eecs.umich.edu/~rajnrao/optshrink/|OptShrink]] - Low-Rank Signal Matrix Denoising via Optimal, Data-Driven Singular Value Shrinkage
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Code reported by co-PIs on the MURI is available at the following reproducible research webpages:
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*[http://vision.ucla.edu/~jingming/internal/dspsiftcode.html DSP-SIFT] -(MATLAB written by Jingming Dong) DSP-SIFT Code (Please contact Jingming Dong at dong.cs.ucla.edu for username and passcode to access the internal version)
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*[http://tbayes.eecs.umich.edu/hyechung/Latent Latent] -(MATLAB written by Zhaoshi Meng) Learning Latent Variable Gaussian Graphical Models (on Hero's reproducible research webpage)
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*[http://tbayes.eecs.umich.edu/hyechung/Marginal Marginal Likelihoods] - (MATLAB written by Zhaoshi Meng) Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models (on Hero's reproducible research webpage)
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*[http://tbayes.eecs.umich.edu/ttsili/prls/ PRLS] - (matlab written by T. Tsiligkaridis) Kronecker sum decomposition of sample covariance matrices by permuted rank least squares optimization (on Hero's reproducible research webpage)
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*[http://tbayes.eecs.umich.edu/ttsili/kglasso KGlasso] - (matlab written by T. Tsiligkaridis) Kronecker Graphical Lasso for sparse inverse kronecker structured covariance matrices (on Hero's reproducible research webpage)
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*[http://web.eecs.umich.edu/~rajnrao/optshrink/ OptShrink] - (matlab written by R. Nadakuditi) Low-Rank Signal Matrix Denoising via Optimal, Data-Driven Singular Value Shrinkage

Latest revision as of 21:15, May 6, 2015

Code reported by co-PIs on the MURI is available at the following reproducible research webpages:

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