DocumentCode
1685483
Title
Threshold selection for noisy matrix completion
Author
Solo, Victor
Author_Institution
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fYear
2013
Firstpage
6581
Lastpage
6584
Abstract
While noise free matrix completion has a considerable history recent interest has centered on a noisy version of the problem. We consider a nuclear norm penalised least squares formulation. And by applying the SURE method, we develop for the first time, an automatic procedure for selecting the penalty parameter. We illustrate its use with some simulation results.
Keywords
filtering theory; least squares approximations; matrix algebra; SURE method; collaborative filtering; noise free matrix completion; nuclear norm penalised least squares formulation; threshold selection; Equations; Inverse problems; Noise; Noise measurement; Optimization; Signal processing algorithms; Tuning; denoising; matrix completion; model selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638934
Filename
6638934
Link To Document