113 search results - page 8 / 23 » Computational and Theoretical Analysis of Null Space and Ort... |
IJON
2010
13 years 6 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-vi...
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
TSMC
2008
13 years 7 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...