440 search results - page 16 / 88 » Learning the structure of manifolds using random projections |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
TIP
2008
13 years 7 months ago
2008
We introduce a graph Laplacian based algorithm for the tomography reconstruction of a planar object from its projections taken at random unknown directions. The algorithm is shown ...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— We present the Constrained Bi-directional RapidlyExploring Random Tree (CBiRRT) algorithm for planning paths in configuration spaces with multiple constraints. This al...
NPL
2000
13 years 7 months ago
2000
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
SCALESPACE
2007
Springer
14 years 1 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...