1627 search results - page 32 / 326 » Multi-Instance Mixture Models |
NIPS
1998
13 years 9 months ago
1998
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
PAMI
2008
13 years 7 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...