875 search results - page 18 / 175 » Linear Manifold Clustering |
116
Voted
NIPS
2007
15 years 2 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...
95
Voted
ISBI
2008
IEEE
15 years 7 months ago
2008
IEEE
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
80
Voted
IMAMS
2003
15 years 2 months ago
2003
We define a parameterization for an n-holed tori based on the hyperbolic polygon. We model the domain using a manifold with 2n+ 2 charts, and linear fractional transformations for...
126
Voted
AMDO
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
100
Voted
ICCV
1999
IEEE
15 years 5 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...