125 search results - page 21 / 25 » Rotational Linear Discriminant Analysis Technique for Dimens... |
117
Voted
ICDAR
2011
IEEE
13 years 9 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
95
Voted
ISBI
2007
IEEE
15 years 4 months ago
2007
IEEE
Statistical shape analysis techniques commonly employed in the medical imaging community, such as Active Shape Models or Active Appearance Models, rely on Principal Component Anal...
124
Voted
ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Significant research has been devoted to detecting people
in images and videos. In this paper we describe a human detection
method that augments widely used edge-based features
...