Contact
How to shop
Delivery
Shopping guide
Robust Subspace Estimation Using Low-Rank Optimization
English
118 b
Up to 30 days for returns
Customers also purchased
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.§
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Hardback
37.09
€
/
Paperback
14.66
€
/
Paperback
15.06
€
/
Paperback
16.07
€
Hi! I'm Libroamiko, your book advisor.
How can I help you?