110 search results - page 3 / 22 » A novel pixon-representation for image segmentation based on... |
PAMI
2010
13 years 7 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
EMMCVPR
1999
Springer
14 years 25 days ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...