486 search results - page 40 / 98 » Learning bilinear models for two-factor problems in vision |
CVPR
2008
IEEE
15 years 4 days ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
CVPR
2004
IEEE
15 years 5 days ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
ECCV
2008
Springer
15 years 1 days ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Human activity analysis is an important problem in computer
vision with applications in surveillance and summarization
and indexing of consumer content. Complex human
activities...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...