926 search results - page 56 / 186 » Outliers and Bayesian Inference |
123
Voted
CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
106
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
154
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
150
Voted
CVPR
1999
IEEE
16 years 6 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
122
Voted
ECCV
2000
Springer
16 years 5 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...