570 search results - page 2 / 114 » Alternating Projections on Manifolds |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classi...
COMPGEOM
2008
ACM
13 years 6 months ago
2008
ACM
The Johnson-Lindenstrauss random projection lemma gives a simple way to reduce the dimensionality of a set of points while approximately preserving their pairwise distances. The m...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
This paper describes a new algorithm for recovering the
3D shape and motion of deformable and articulated objects
purely from uncalibrated 2D image measurements using an
iterati...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
BMVC
2010
13 years 2 months ago
2010
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...