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TMI
1998
140views more  TMI 1998»
15 years 4 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
PRL
2008
161views more  PRL 2008»
15 years 4 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
RE
2008
Springer
15 years 4 months ago
Sensitivity analysis in the process of COTS mismatch-handling
Abstract During the selection of commercial off-theshelf (COTS) products, mismatches encountered between stakeholders' requirements and features offered by COTS products are i...
Abdallah Mohamed, Günther Ruhe, Armin Eberlei...
158
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CGF
2010
165views more  CGF 2010»
15 years 3 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
PAMI
2010
192views more  PAMI 2010»
15 years 3 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens