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Format: Hardcover

Language: English

Pages: 566

Publisher: Springer; 1st ed. 2016 edition (April 26, 2016)

ISBN: 0387878106

Format: PDF / Kindle / ePub

Size: 8.1 MB

Downloadable formats: PDF

This booklet presents a finished advent to the newest advances within the mathematical concept and computational instruments for modeling high-dimensional info drawn from one or a number of low-dimensional subspaces (or manifolds) and almost certainly corrupted by means of noise, gross error, or outliers. This demanding job calls for the advance of latest algebraic, geometric, statistical, and computational equipment for effective and powerful estimation and segmentation of 1 or a number of subspaces. The ebook additionally offers fascinating real-world purposes of those new equipment in snapshot processing, snapshot and video segmentation, face popularity and clustering, and hybrid method identity and so forth. This publication is meant to function a textbook for graduate scholars and starting researchers in information technological know-how, computer studying, computing device imaginative and prescient, photograph and sign processing, and platforms concept. It includes plentiful illustrations, examples, and routines and is made mostly self-contained with 3 Appendices which survey uncomplicated thoughts and ideas from facts, optimization, and algebraic-geometry utilized in this book.René Vidal is a Professor of Biomedical Engineering and Director of the imaginative and prescient Dynamics and studying Lab on the Johns Hopkins University. Yi Ma is govt Dean and Professor on the tuition of data technological know-how and expertise at ShanghaiTech University. S. Shankar Sastry is Dean of the varsity of Engineering, Professor of electric Engineering and desktop technological know-how and Professor of Bioengineering on the college of California, Berkeley.


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