47 search results - page 1 / 10 » Mapping a Manifold of Perceptual Observations |
104
Voted
NIPS
1997
15 years 1 months ago
1997
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
101
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...
103
Voted
FGR
2004
IEEE
15 years 3 months ago
2004
IEEE
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
84
Voted
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
CVPR
2008
IEEE
15 years 6 months ago
2008
IEEE
We propose a shape population metric that reflects the interdependencies between points observed in a set of examples. It provides a notion of topology for shape and appearance m...