Sciweavers

Share
IBPRIA
2007
Springer

Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information

9 years 6 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the mean information and providing exact results. Although these methods are presented in the context of computer vision, they can be used in any field forgetting information, combining different eigenspaces in one or ignoring particular dimensions of the column space of the data. Application examples on face subspace learning and latent semantic analysis are given and performance results are provided.
Javier Melenchón, Elisa Martínez
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where IBPRIA
Authors Javier Melenchón, Elisa Martínez
Comments (0)
books