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ICML
1996
IEEE
14 years 6 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
EMMCVPR
2011
Springer
12 years 5 months ago
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
Variational relaxations can be used to compute approximate minimizers of optimal partitioning and multiclass labeling problems on continuous domains. While the resulting relaxed co...
Jan Lellmann, Frank Lenzen, Christoph Schnörr
ICIP
1995
IEEE
14 years 6 months ago
A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method
In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution ...
P. K. Nanda, K. Sunil Kumar, S. Ghokale, Uday B. D...
CVIU
2007
125views more  CVIU 2007»
13 years 5 months ago
Graph regularization for color image processing
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
Olivier Lezoray, Abderrahim Elmoataz, Sébas...
ICIP
2007
IEEE
14 years 7 months ago
Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography
Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually unde...
Kees Joost Batenburg, Jan Sijbers