Robust Locally Linear Analysis: K-ALS (Alternating Least Squares)

Paper:

Wang, Y., Szlam, A. and Lerman, G., Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting, SIAM Journal on Imaging Sciences (SIIMS), Vol. 6, No. 1, pp. 526-562, 2013.

Matlab Code:

  1. The K-ALS algorithm is here.

  2. A fast implementation of the PCP (principal component pursuit) algorithm and its relaxed version (bears Gaussian noise) is here.

 

 

This research has been supported by NSF grants DMS-08-11203, DMS-09-15064 and DMS-09-56072

 

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Last Modified Friday September 16, 2016
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