53 search results - page 2 / 11 » Non-isometric manifold learning: analysis and an algorithm |
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
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JMLR
2010
14 years 7 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
NIPS
2008
14 years 11 months ago
2008
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
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EDUTAINMENT
2007
Springer
15 years 3 months ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...