528 search results - page 11 / 106 » Mining Subspace Correlations |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We investigate usefulness of across-phone variability for speaker recognition in a joint factor analysis (JFA) framework. We estimate the variability as across-phone covariance wi...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
ICPR
2006
IEEE
14 years 1 months ago
2006
IEEE
The high dimensionality of system observation, together with the frequent changes of system normal behavior resulting from workload variations, makes fault detection very difficu...