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ICCV
2009
IEEE
14 years 11 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
VISUALIZATION
2002
IEEE
13 years 11 months ago
Fast Visualization of Plane-Like Structures in Voxel Data
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Steffen Prohaska, Hans-Christian Hege
SMA
2003
ACM
163views Solid Modeling» more  SMA 2003»
13 years 11 months ago
Fast swept volume approximation of complex polyhedral models
We present an efficient algorithm to approximate the swept volume (SV) of a complex polyhedron along a given trajectory. Given the boundary description of the polyhedron and a pat...
Young J. Kim, Gokul Varadhan, Ming C. Lin, Dinesh ...
PR
2007
141views more  PR 2007»
13 years 5 months ago
A Riemannian approach to graph embedding
In this paper, we make use of the relationship between the Laplace–Beltrami operator and the graph Laplacian, for the purposes of embedding a graph onto a Riemannian manifold. T...
Antonio Robles-Kelly, Edwin R. Hancock
TCOS
2010
13 years 4 months ago
Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space
We present a general framework for computing two-dimensional Voronoi diagrams of different classes of sites under various distance functions. Most diagrams mentioned in the paper ...
Ophir Setter, Micha Sharir, Dan Halperin