42 search results - page 2 / 9 » Variational inference with graph regularization for image an... |
ICIP
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This nonlocal graph allows to adapt the penalization to t...
ICMCS
2007
IEEE
14 years 2 days ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
JMLR
2010
13 years 16 days ago
2010
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
CVIU
2007
13 years 5 months ago
2007
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...