53 search results - page 2 / 11 » Non-isometric manifold learning: analysis and an algorithm |
CVPR
2003
IEEE
14 years 6 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
14 years 6 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...
JMLR
2010
13 years 2 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
13 years 6 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...
EDUTAINMENT
2007
Springer
13 years 10 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...