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PAMI
2010
396views more  PAMI 2010»
13 years 9 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
ICCV
2001
IEEE
15 years 26 days ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind
ICIAR
2007
Springer
14 years 5 months ago
Parameterless Discrete Regularization on Graphs for Color Image Filtering
A discrete regularization framework on graphs is proposed and studied for color image filtering purposes when images are represented by grid graphs. Image filtering is considered...
Olivier Lezoray, Sébastien Bougleux, Abderr...
SCALESPACE
2007
Springer
14 years 5 months ago
Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which unifies image and mesh filtering. The approach considers the problem as a variation...
Sébastien Bougleux, Abderrahim Elmoataz, Ma...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 4 months ago
Dense and Switched Modular Primitives for Bond Graph Model Design
This paper suggests dense and switched modular primitives for a bond-graph-based GP design framework that automatically synthesizes designs for multi-domain, lumped parameter dynam...
Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman,...