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DIS
2006
Springer
15 years 8 months ago
A Novel Framework for Discovering Robust Cluster Results
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...
ISBI
2004
IEEE
16 years 5 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
SCCC
2005
IEEE
15 years 10 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
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SCALESPACE
2009
Springer
15 years 11 months ago
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Carole Le Guyader, Luminita A. Vese
ICASSP
2008
IEEE
15 years 11 months ago
Stereo matching with asymmetric occlusion handling in weighted least square framework
This paper presents a novel method for stereo matching with occlusion handling. In order to estimate optimal cost, we define an energy function and solve the iterative equation w...
Dong Bo Min, Kwanghoon Sohn