Cite Details
Paul Rodríguez and Brendt Wohlberg, "Fast Principal Component Pursuit via Alternating Minimization", in
Proceedings of IEEE International Conference on
Image Processing (ICIP), (Melbourne, Australia), doi:
10.1109/ICIP.2013.6738015, pp. 69--73, Sep 2013
Abstract
We propose a simple alternating minimization algorithm for
solving a minor variation on the original Principal Component
Pursuit (PCP) functional. In computational experiments in the video
background modeling problem, the proposed algorithm is able to
deliver a consistent sparse approximation even after the first outer
loop, (taking approximately 12 seconds for a 640 × 480 ×
400 color test video) which is approximately an order of magnitude
faster than Inexact ALM to construct a sparse component of the same
quality.
BibTeX Entry
@inproceedings{rodriguez-2013-fast,
author = {Paul Rodr\'{i}guez and Brendt Wohlberg},
title = {Fast Principal Component Pursuit via Alternating Minimization},
year = {2013},
month = Sep,
urlpdf = {http://brendt.wohlberg.net/publications/pdf/rodriguez-2013-fast.pdf},
booktitle = {Proceedings of IEEE International Conference on
Image Processing (ICIP)},
address = {Melbourne, Australia},
doi = {10.1109/ICIP.2013.6738015},
pages = {69--73}
}