338 search results - page 24 / 68 » Learning Flexible Features for Conditional Random Fields |
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
ICA
2007
Springer
15 years 1 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
PKDD
2007
Springer
15 years 3 months ago
2007
Springer
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...