625 search results - page 32 / 125 » Large-scale manifold learning |
NIPS
2008
13 years 11 months ago
2008
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
JMLR
2010
13 years 8 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...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
NIPS
2007
13 years 11 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
In this paper, we propose a probabilistic videobased facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observatio...