957 search results - page 24 / 192 » Conditional Density Estimation with Class Probability Estima... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper presents a new normalcy model of a scene for change detection using images taken from multiple views and varying illumination conditions. Each coregistered pixel site i...
PAMI
2006
13 years 7 months ago
2006
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
NECO
2002
13 years 7 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...