Robust Subspace Estimation Using Low-Rank Optimization

Provides a comprehensive summary of the state-of-the-art methods and applications of Low-Rank OptimizationReviews the latest approaches in a wide range of computer vision problems, including: Scene Reconstruction, Video Denoising, Activity Recognition, and Background SubtractionInvolves a self-complete and detailed description of the methods and theories which makes it ideal for graduate students looking for a comprehensive resource in this areaIncludes supplementary material: sn.pub/extras

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Robust Subspace Estimation Using Low-Rank Optimization Omar Oreifej, Mubarak Shah

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