1334 search results - page 14 / 267 » Composite kernel learning |
109
Voted
ICML
2007
IEEE
16 years 3 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...
121
Voted
COLT
2008
Springer
15 years 4 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. ...
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
109
Voted
IJCV
2007
15 years 2 months ago
2007
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...
117
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...