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CVPR
2007
IEEE
15 years 3 days ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
ICIP
2006
IEEE
14 years 11 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICIP
2009
IEEE
14 years 11 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
ICASSP
2010
IEEE
13 years 8 months ago
A novel, fast, and complete 3D segmentation of vertebral bones
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs), especially the trabecular bones (TBs). In this paper...
Melih S. Aslan, Asem M. Ali, Ham Rara, Ben Arnold,...
ICASSP
2011
IEEE
13 years 1 months ago
Uncovering elements of style
This paper relates the style of 16th century Flemish paintings by Goossen van der Weyden (GvdW) to the style of preliminary sketches or underpaintings made prior to executing the ...
Josephine Wolff, Maximiliaan Martens, Sina Jafarpo...