[PDF.13kl] Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing)

Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing)

[PDF.dm00] Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing)

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 | #4709914 in Books |  2014-03-25 | Original language:English | PDF # 1 |  9.20 x.50 x6.00l,.85 | File type: PDF | 114 pages

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Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization. Interestingly, robust subspace estimation can be posed as a low-rank optimization problem, which can be so...

You can specify the type of files you want, for your gadget.Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing)   |  Omar Oreifej, Mubarak Shah. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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