1013 search results - page 89 / 203 » The Bayesian inference of phase |
ICIP
2003
IEEE
14 years 10 months 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
14 years 10 months 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...
IPMI
2005
Springer
14 years 9 months ago
2005
Springer
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
SNP-microarrays are able to measure simultaneously both copy number and genotype at several single nucleotide polymorphism positions. Combining the two data, it is possible to bett...