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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
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...
Hongwei Zheng, Olaf Hellwich
ICIP
2008
IEEE
14 years 6 months ago
Partial difference equations on graphs for Mathematical Morphology operators over images and manifolds
The main tools of Mathematical Morphology are a broad class of nonlinear image operators. They can be defined in terms of algebraic set operators or as Partial Differential Equati...
Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lezora...
ICIP
2007
IEEE
13 years 11 months ago
Classification by Cheeger Constant Regularization
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Hsun-Hsien Chang, José M. F. Moura
DAGM
2005
Springer
13 years 10 months ago
Regularization on Discrete Spaces
Abstract. We consider the classification problem on a finite set of objects. Some of them are labeled, and the task is to predict the labels of the remaining unlabeled ones. Such...
Dengyong Zhou, Bernhard Schölkopf
ECCV
2010
Springer
13 years 10 months ago
Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...