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Technical Perspective: Iterative Signal Recovery From Incomplete Samples

By Michael Elad, Raja Giryes

Communications of the ACM, Vol. 53 No. 12, Page 92

You are given a large set of data values, and you are requested to compress, clean, recover, recognize, and/or predict it. Sounds familiar? This is the essence of the fields of signal-and image-processing, machine-learning, data-mining, and statistics in general.

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