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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision

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Low-Rank Models in Visual Analysis - Theories, Algorithms, and Applications (Paperback) Loot Price: R2,250
Discovery Miles 22 500
Repayment Terms: R211 pm x 12*
You Save: R132 (6%)
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Low-Rank Models in Visual Analysis - Theories, Algorithms, and Applications (Paperback): Zhouchen Lin, Hongyang Zhang

Low-Rank Models in Visual Analysis - Theories, Algorithms, and Applications (Paperback)

Zhouchen Lin, Hongyang Zhang

Series: Computer Vision and Pattern Recognition

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List price R2,382 Loot Price R2,250 Discovery Miles 22 500 | Repayment Terms: R211 pm x 12* You Save R132 (6%)

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Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve low-rank models efficiently, and how to apply low-rank models to real problems.

General

Imprint: Academic Press Inc
Country of origin: United States
Series: Computer Vision and Pattern Recognition
Release date: June 2017
First published: 2018
Authors: Zhouchen Lin • Hongyang Zhang
Dimensions: 229 x 152 x 18mm (L x W x T)
Format: Paperback
Pages: 260
ISBN-13: 978-0-12-812731-5
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 0-12-812731-7
Barcode: 9780128127315

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