454 search results - page 17 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
IDEAL
2004
Springer
14 years 28 days 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...
JMLR
2010
13 years 6 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
DOCENG
2003
ACM
14 years 25 days ago
2003
ACM
In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalizati...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
SINOBIOMETRICS
2004
Springer
14 years 27 days ago
2004
Springer
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...