212 search results - page 19 / 43 » Random subspace method for multivariate feature selection |
PR
2006
14 years 9 months ago
2006
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
BMCBI
2006
14 years 10 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...