926 search results - page 89 / 186 » Outliers and Bayesian Inference |
CSDA
2008
14 years 11 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
JMLR
2010
14 years 5 months ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
119
Voted
CORR
2012
Springer
13 years 6 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
ICIP
2003
IEEE
16 years 18 days ago
2003
IEEE
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
MICCAI
2008
Springer
16 years 5 days ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...