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» Feature Selection for Density Level-Sets
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
13 years 11 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
JMLR
2011
133views more  JMLR 2011»
12 years 11 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is deļ¬ned 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
WACV
2007
IEEE
13 years 10 months ago
Threshold-based 3D Tumor Segmentation using Level Set (TSL)
Three-dimensional segmentation is reliable approach to achieve a proper estimation of tumor volume. Among all possible methods for this purpose, level set can be used as a powerfu...
Sima Taheri, Sim Heng Ong, Vincent Chong
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 7 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine diļ¬€erent feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
IPMI
2001
Springer
14 years 5 months ago
An Adaptive Level Set Method for Medical Image Segmentation
An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with...
Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo S...