Könyv Robust Subspace Estimation Using Low-Rank Optimization Omar Oreifej

Robust Subspace Estimation Using Low-Rank Optimization

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
19 736 Ft
Recovering the low-rank structure of a linear subspace using a small set of corrupted examples has r...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2014
oldal
114
EAN
9783319041834
ISBN
3319041835
Enbook ID
02300982
Súly
344
Méretek
162 x 237 x 13

Teljes leírás

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.§

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