468 search results - page 45 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
153
Voted
CORR
2008
Springer
15 years 3 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...
100
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
133
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
111
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We propose an integrated framework for automated hand model initialization and tracking using voxel data. Starting with an initial specific hand pose, the Laplacian Eigenspace (LE...
144
Voted
IJAR
2010
15 years 2 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...