166 search results - page 27 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
ICMCS
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
NIPS
2008
13 years 10 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
TMM
2008
13 years 8 months ago
2008
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...