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Robust Subspace Estimation Using Low-Rank Optimization

Name: Robust Subspace Estimation Using Low-Rank Optimization
Brand: Springer International Publishing AG
SKU: 02300982
Price: 20331 HUF
Availability: InStock
Author: Omar Oreifej
ISBN: 9783319041834

Omar Oreifej

Mubarak Shah

Language

English

Book Hardback

Libristo code: 02300982

Publishers Springer International Publishing AG, March 2014

Recovering the low-rank structure of a linear subspace using a small set of corrupted examples has r... Full description

Libristo code: 02300982

136 b

20 331 Ft

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Recovering the low-rank structure of a linear subspace using a small set of corrupted examples has recently been made feasible through substantial advances in the area of matrix completion and nuclear-norm minimization. Such low-rank structures appear in certain conditions heavily in computer vision, for instance, in the frames of a video, the camera motion, and a picture of a building façade. In this book, we discuss several formulations and extensions of low-rank optimization, and demonstrate how recovering the underlying basis and detecting the corresponding outliers allow us to solve fundamental computer vision problems, including video denoising, background subtraction, action detection, and complex event recognition.§

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About the book

Full name Robust Subspace Estimation Using Low-Rank Optimization

Author Omar Oreifej, Mubarak Shah

Language

English

Binding Book - Hardback

Date of issue 2014

Number of pages 114

EAN 9783319041834

ISBN 3319041835

Libristo code 02300982

Publishers Springer International Publishing AG

Weight 344

Dimensions 162 x 237 x 13

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