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Více informací o knize Robust Subspace Estimation Using Low-Rank Optimization

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Anotace knihy

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.§

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Robust Subspace Estimation Using Low-Rank Optimization
• Autor: Omar Oreifej, Mubarak Shah
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 114
• EAN: 9783319041834
• ISBN: 3319041835
• ID: 02300982
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 344 g
• Rozměry: 237 × 162 × 13 mm
• Datum vydání: 25. March 2014

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