1427 search results - page 13 / 286 » Markov Random Field Models in Computer Vision |
CVPR
2007
IEEE
14 years 9 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...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...