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Low-Rank Models in Visual Analysis - Theories, Algorithms, and Applications (Paperback)
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Low-Rank Models in Visual Analysis - Theories, Algorithms, and Applications (Paperback)
Series: Computer Vision and Pattern Recognition
Expected to ship within 12 - 17 working days
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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.
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