1491 search results - page 14 / 299 » Training Linear Discriminant Analysis in Linear Time |
IJON
2010
13 years 7 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....
IJCNLP
2005
Springer
14 years 2 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
CAIP
2003
Springer
14 years 1 months ago
2003
Springer
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
Large intersubject variability is a well-described feature of fMRI studies, making inter-group inference, of critical importance for biological interpretation, difficult. Therefor...
CVPR
2009
IEEE
14 years 3 months ago
2009
IEEE
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...