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ICCV
2007
IEEE
15 years 11 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
ICIP
2005
IEEE
15 years 11 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
ICPR
2000
IEEE
15 years 10 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
SCVMA
2004
Springer
15 years 3 months ago
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models
This paper deals with the motion detection problem. This issue is of key importance in many application fields. To solve this problem, we compute the dominant motion in the sequen...
Cédric Demonceaux, Djemâa Kachi-Akkou...
ISMB
1997
14 years 11 months ago
Identifying Chimerism in Proteins Using Hidden Markov Models of Codon Usage
Protein chimerism is a phenomenon involving the combination of multiple ancestral sequences into a single, multi-domain protein through evolution. We propose a novel method for de...
Lawrence Hunter, Barry Zeeberg