68 search results - page 2 / 14 » A Variational Approach to Recovering a Manifold from Sample ... |
CVPR
2007
IEEE
14 years 3 days ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
APPROX
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
VLSISP
2010
13 years 4 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...