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IWVF
2001
Springer
14 years 9 days ago
Computational Surface Flattening: A Voxel-Based Approach
ÐA voxel-based method for flattening a surface in 3D space into 2D while best preserving distances is presented. Triangulation or polyhedral approximation of the voxel data are no...
Ruth Grossmann, Nahum Kiryati, Ron Kimmel
DAGM
2006
Springer
13 years 11 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
CBMS
2003
IEEE
13 years 11 months ago
Planar Arrangement of High-Dimensional Biomedical Data Sets by Isomap Coordinates
This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based ...
Ik Soo Lim, Pablo de Heras Ciechomski, Sofiane Sar...
CCCG
2007
13 years 9 months ago
Approximations of Geodesic Distances for Incomplete Triangular Manifolds
We present a heuristic algorithm to compute approximate geodesic distances on a triangular manifold S containing n vertices with partially missing data. The proposed method comput...
Zouhour Ben Azouz, Prosenjit Bose, Chang Shu, Stef...
AAAI
2004
13 years 9 months ago
A Correspondence Metric for Imitation
Abstract-- Learning by imitation and learning from demonstration have received considerable attention in robotics. However, very little research has been in the direction of provid...
R. Amit, Maja J. Mataric