688 search results - page 28 / 138 » Computing with subspaces |
79
Voted
ICCV
1999
IEEE
15 years 1 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
IEICET
2007
14 years 9 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
71
Voted
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
ICIG
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...