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» Manifold Clustering of Shapes
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CVPR
2007
IEEE
14 years 10 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
IPMI
2007
Springer
14 years 9 months ago
Population-Based Fitting of Medial Shape Models with Correspondence Optimization
A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary re...
Timothy B. Terriberry, James N. Damon, Stephen M. ...
CSDA
2007
115views more  CSDA 2007»
13 years 8 months ago
Arbitrarily shaped multiple spatial cluster detection for case event data
An original method is proposed for spatial cluster detection of case event data. A selection order and the distance from the nearest neighbour are attributed to each point, once p...
Christophe Dematteï, Nicolas Molinari, Jean-P...
ISBI
2008
IEEE
14 years 9 months ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
CAGD
2005
138views more  CAGD 2005»
13 years 8 months ago
Harmonic functions for quadrilateral remeshing of arbitrary manifolds
In this paper, we propose a new quadrilateral remeshing method for manifolds of arbitrary genus that is at once general, flexible, and efficient. Our technique is based on the use...
Shen Dong, Scott Kircher, Michael Garland