910 search results - page 32 / 182 » Progressive Principal Component Analysis |
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Principal component analysis has proven to be useful for understanding geometric variability in populations of parameterized objects. The statistical framework is well understood ...
PAMI
2000
13 years 7 months ago
2000
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
ECCV
2004
Springer
14 years 1 months ago
2004
Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in medical image analysis of the brain. However, relatively little work has been done on produ...
AIPR
2002
IEEE
14 years 18 days ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...