399 search results - page 37 / 80 » Two-Dimensional Linear Discriminant Analysis |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
BMCBI
2010
13 years 8 months ago
2010
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
ISNN
2005
Springer
14 years 2 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
KES
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...