40 search results - page 2 / 8 » Gibbs Likelihoods for Bayesian Tracking |
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
JMLR
2010
12 years 11 months ago
2010
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
CVPR
2000
IEEE
13 years 8 months ago
2000
IEEE
This paper addresses the derivation of likelihood functions and confidence bounds for problems involving overdetermined linear systems with noise in all measurements, often referr...