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


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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