337 search results - page 20 / 68 » Sparse Optimization for Second Order Kernel Methods |
AAAI
2010
13 years 7 months ago
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
ISBI
2009
IEEE
14 years 2 months ago
2009
IEEE
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...