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» An Algorithm for Intrinsic Dimensionality Estimation
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CGF
2011
14 years 3 months ago
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have bee...
Art Tevs, Alexander Berner, Michael Wand, Ivo Ihrk...
NIPS
2001
15 years 1 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
102
Voted
COMPGEOM
2008
ACM
15 years 1 months ago
Towards persistence-based reconstruction in euclidean spaces
Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recent advances in higher dimensions have led to new method...
Frédéric Chazal, Steve Oudot
106
Voted
PAMI
2006
127views more  PAMI 2006»
14 years 11 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
ICCV
2005
IEEE
15 years 5 months ago
Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects
Camera Calibration with one-dimensional objects is based on an algebraic constraint on the image of the absolute conic. We will give an alternative derivation to this constraint, ...
Pär Hammarstedt, Peter F. Sturm, Anders Heyde...