613 search results - page 72 / 123 » The Pre-Image Problem in Kernel Methods |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
CAIP
2007
Springer
14 years 23 days ago
2007
Springer
Fracture of the bone is a very serious medical condition. In clinical practice, a tired radiologist has been found to miss fracture cases after looking through many images containi...
MICCAI
2005
Springer
14 years 9 months ago
2005
Springer
In this study we address the problem of extracting a robust connectivity metric for brain white matter. We defined the connectivity problem as an energy minimization task, by assoc...
PAMI
2012
11 years 11 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...