BriefGPT.xyz
Sep, 2015
快速随机奇异值阈值法及其在低秩优化中的应用
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
HTML
PDF
Tae-Hyun Oh, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon
TL;DR
本文提出了一种快速随机奇异值阈值方法,称为快速随机SVT,可以用于解决与NNM或WNNM相关的问题,在各种计算机视觉问题中获得了高效和精确的结果。
Abstract
rank minimization
can be boiled down to tractable surrogate problems, such as
nuclear norm minimization
(NNM) and Weighted NNM (WNNM). The problems related to NNM (or WNNM) can be solved iteratively by applying a
→