727 search results - page 111 / 146 » On Bayesian model and variable selection using MCMC |
ECCV
2000
Springer
15 years 11 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
RTSS
2002
IEEE
15 years 2 months ago
2002
IEEE
Aperiodic requests with unknown execution times and unknown arrival patterns are dynamically mapped to ratebased execution (RBE) tasks with variable rates and scheduled such that ...
SPLC
2008
14 years 11 months ago
2008
Feature models are widely used to model software product-line (SPL) variability. SPL variants are configured by selecting feature sets that satisfy feature model constraints. Conf...