990 search results - page 27 / 198 » Learning with non-positive kernels |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Structural alignments are the most widely used tools for comparing proteins with low sequence similarity. The main contribution of this paper is to derive various kernels on prote...
PR
2007
13 years 9 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
CVPR
2012
IEEE
12 years 5 days ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
AAAI
2011
12 years 9 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...