66 search results - page 3 / 14 » Mixture Density Mercer Kernels: A Method to Learn Kernels Di... |
CVPR
2012
IEEE
11 years 7 months 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...
BICOB
2010
Springer
13 years 3 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
MLG
2007
Springer
13 years 11 months ago
2007
Springer
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...