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» Invariances in kernel methods: From samples to objects
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ISBI
2004
IEEE
14 years 9 months ago
Pareto Depth Sampling Distributions for Gene Ranking
In this paper we propose a method for gene ranking from microarray experiments using multiple discriminants. The novelty of our approach is that a gene's relative rank is det...
Alfred O. Hero, Sepidarseh Zareparsi, Anand Swaroo...
CVPR
2001
IEEE
14 years 11 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
CVPR
2010
IEEE
14 years 4 months ago
A Novel Riemannian Framework for Shape Analysis of 3D Objects
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...
CVIU
2011
13 years 4 months ago
Sampled medial loci for 3D shape representation
The medial axis transform is valuable for shape representation as it is complete and captures part structure. However, its exact computation for arbitrary 3D models is not feasibl...
Svetlana Stolpner, Sue Whitesides, Kaleem Siddiqi
VVS
1998
IEEE
120views Visualization» more  VVS 1998»
14 years 1 months ago
Using Distance Maps for Accurate Surface Representation in Sampled Volumes
High quality rendering and physics-based modeling in volume graphics have been limited because intensity-based volumetric data do not represent surfaces well. High spatial frequen...
Sarah F. Frisken Gibson