847 search results - page 32 / 170 » HITS is Principal Components Analysis |
103
Voted
ECCV
2010
Springer
15 years 4 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...
115
Voted
ECCV
2004
Springer
15 years 5 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...
118
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AIPR
2002
IEEE
15 years 5 months 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 ...
MIR
2010
ACM
14 years 11 months ago
2010
ACM
A novel backwards viewpoint of Principal Component Analysis is proposed. In a wide variety of cases, that fall into the area of Object Oriented Data Analysis, this viewpoint is se...
IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...