109 search results - page 3 / 22 » Bayesian Model Selection when the Number of Components is Un... |
ICCV
2005
IEEE
13 years 11 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
CSDA
2007
13 years 6 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
TIP
2010
13 years 4 months ago
2010
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
BMCBI
2010
13 years 1 months ago
2010
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...