DocumentCode
2155166
Title
Efficient matrix completion with Gaussian models
Author
Léger, Flavien ; Yu, Guoshen ; Sapiro, Guillermo
Author_Institution
CMLA, ENS Cachan, Cachan, France
fYear
2011
fDate
22-27 May 2011
Firstpage
1113
Lastpage
1116
Abstract
A general framework based on Gaussian models and a MAP-EM algorithm is introduced in this paper for solving matrix/table completion problems. The numerical experiments with the standard and challenging movie ratings data show that the proposed approach, based on probably one of the simplest probabilistic models, leads to the results in the same ballpark as the state-of-the-art, at a lower computational cost.
Keywords
Gaussian processes; expectation-maximisation algorithm; matrix algebra; probability; Gaussian models; MAP-EM algorithm; efficient matrix completion; matrix-table completion problems; maximum a posteriori expectation-maximization algorithm; probabilistic models; Collaboration; Computational modeling; Motion pictures; Nickel; Numerical models; Sparse matrices; Training; EM algorithm; Gaussian mixture models; MAP estimation; Matrix completion; collaborative filtering; inverse problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946603
Filename
5946603
Link To Document