111 search results - page 11 / 23 » Multi-class image segmentation using conditional random fiel... |
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
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CVPR
2007
IEEE
15 years 11 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...
IJCV
2008
14 years 9 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
MICCAI
2003
Springer
15 years 10 months ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
TIP
2010
14 years 4 months ago
2010
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...