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» Application of Level Set Methods in Computer Vision
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117
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CVPR
2006
IEEE
15 years 8 months ago
Fast Variational Segmentation using Partial Extremal Initialization
In this paper we consider region-based variational segmentation of two- and three-dimensional images by the minimization of functionals whose fidelity term is the quotient of two...
Jan Erik Solem, Niels Chr. Overgaard, Markus Perss...
GD
2009
Springer
15 years 7 months ago
On the Characterization of Level Planar Trees by Minimal Patterns
We consider characterizations of level planar trees. Healy et al. [8] characterized the set of trees that are level planar in terms of two minimal level non-planar (MLNP) patterns....
Alejandro Estrella-Balderrama, J. Joseph Fowler, S...
CVIU
1999
238views more  CVIU 1999»
15 years 2 months ago
A Coarse to Fine 3D Registration Method Based on Robust Fuzzy Clustering
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
Jean-Philippe Tarel, Nozha Boujemaa
CVPR
2006
IEEE
16 years 4 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
160
Voted
JSSPP
2010
Springer
15 years 13 days ago
Resource Provisioning in SLA-Based Cluster Computing
Cluster computing is excellent for parallel computation. It has become increasingly popular. In cluster computing, a service level agreement (SLA) is a set of quality of services (...
Kaiqi Xiong, Sang C. Suh