286 search results - page 21 / 58 » Performing boundary shape matching in spatial data |
DATAMINE
1999
14 years 9 months ago
1999
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
107
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
The matching and retrieval of 2D shapes is an important
challenge in computer vision. A large number of shape
similarity approaches have been developed, with the main
focus bein...
101
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SDM
2003
SIAM
14 years 11 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
149
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Density of moles is a strong predictor of malignant
melanoma. Some dermatologists advocate periodic fullbody
scan for high-risk patients. In current practice, physicians
compare...
CIBCB
2009
IEEE
14 years 7 months ago
2009
IEEE
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...