66 search results - page 4 / 14 » Mixture Density Mercer Kernels: A Method to Learn Kernels Di... |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
NIPS
2001
13 years 6 months ago
2001
When constructing a classifier, the probability of correct classification of future data points should be maximized. In the current paper this desideratum is translated in a very ...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
TIP
2010
13 years 1 days ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....