55 search results - page 10 / 11 » On Parameter Learning in CRF-based Approaches to Object Clas... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
DAWAK
2004
Springer
14 years 28 days ago
2004
Springer
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...
SIAMIS
2010
13 years 2 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...