570 search results - page 12 / 114 » Alternating Projections on Manifolds |
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
TSP
2008
13 years 9 months ago
2008
Estimation of Directions-Of-Arrival (DOA) is an important problem in various applications and a priori knowledge on the source location is sometimes available. To exploit this inf...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
MP
2010
13 years 8 months ago
2010
: Each linear program (LP) has an optimal basis. The space of linear programs can be partitioned according to these bases, so called the basis partition. Discovering the structures...
BMVC
2010
13 years 7 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...