eBook: Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications (DRM PDF)
 
電子書格式: DRM PDF
作者: Zhouchen Lin, Hongyang Zhang 
系列: Computer Vision and Pattern Recognition
分類: Computer vision ,
Image processing  
書城編號: 20173096


售價: $1130.00

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製造商: Elsevier Science
出版日期: 2017/06/06
頁數: 260
ISBN: 9780128127322
 
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商品簡介
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. Presents a self-contained, up-to-date introduction that covers underlying theory, algorithms and the state-of-the-art in current applicationsProvides a full and clear explanation of the theory behind the modelsIncludes detailed proofs in the appendices
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Zhouchen Lin 作者作品表

Alternating Direction Method of Multipliers for Machine Learning (2022) (Paperback)

Low-Rank Models in Visual Analysis (Paperback)

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