180 search results - page 36 / 36 » Learning Multiscale Image Models of 2D Object Classes |
CVPR
2011
IEEE
12 years 8 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...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
SIAMIS
2010
12 years 11 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 ...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
PAMI
2012
11 years 7 months ago
2012
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...