513 search results - page 49 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
AMAI
2004
Springer
14 years 2 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
KES
2000
Springer
14 years 19 days ago
2000
Springer
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
UAI
2000
13 years 10 months ago
2000
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
PAMI
2008
13 years 9 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...