3 search results - page 1 / 1 » Low-rank matrix completion by variational sparse Bayesian le... |
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
CVIU
2008
13 years 11 months ago
2008
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...