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ACIVS
2007
Springer
13 years 11 months ago
A Multi-agent Approach for Range Image Segmentation with Bayesian Edge Regularization
Abstract. We present and evaluate in this paper a multi-agent approach for range image segmentation. The approach consists in using autonomous agents for the segmentation of a rang...
Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Moh...
PAMI
2008
137views more  PAMI 2008»
13 years 7 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi
TIP
2010
162views more  TIP 2010»
13 years 2 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
CORR
2006
Springer
119views Education» more  CORR 2006»
13 years 7 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
CVPR
2007
IEEE
14 years 9 months ago
Metropolis-Hasting techniques for finite-element-based registration
In this paper, we focus on the design of Markov Chain Monte Carlo techniques in a statistical registration framework based on finite element basis (FE). Due to the use of FE basis...
Adeline M. M. Samson, Frédéric J. P....