1627 search results - page 11 / 326 » Multi-Instance Mixture Models |
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
SSPR
2010
Springer
13 years 5 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
GFKL
2005
Springer
14 years 15 days ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...
ESANN
2007
13 years 8 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...