135 search results - page 7 / 27 » Kernel methods and the exponential family |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
BMVC
2010
13 years 6 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
KES
2008
Springer
13 years 8 months ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Interpreting an image as a function on a compact subset of the Euclidean plane, we get its scale-space by diffusion, spreading the image over the entire plane. This generates a 1-...