61 search results - page 7 / 13 » Kernel Trick Embedded Gaussian Mixture Model |
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
CVPR
2008
IEEE
13 years 10 months ago
2008
IEEE
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
ICPR
2010
IEEE
14 years 3 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...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...