Title
Fast principal component pursuit via alternating minimization
Date Issued
01 January 2013
Access level
metadata only access
Resource Type
conference paper
Author(s)
RODRIGUEZ VALDERRAMA, PAUL ANTONIO
Wohlberg B.
Publisher(s)
IEEE Computer Society
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. © 2013 IEEE.
Start page
69
End page
73
Language
English
OCDE Knowledge area
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-84897727102
PubMed ID
ISBN
9781479923410
Source
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Sources of information:
Directorio de Producción Científica
Scopus