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JMLR
2011
133views more  JMLR 2011»
13 years 2 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
Bruno Pelletier, Pierre Pudlo
ISVC
2009
Springer
14 years 2 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
SCALESPACE
1999
Springer
13 years 12 months ago
Region Tracking on Surfaces Deforming via Level-Sets Methods
Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...
TITB
2002
172views more  TITB 2002»
13 years 7 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
CVPR
1998
IEEE
14 years 9 months ago
Segmentation by Grouping Junctions
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
Hiroshi Ishikawa 0002, Davi Geiger