NIPS
2008
13 years 5 months ago
2008
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Due to the curse of dimensionality, high-dimensional data is often pre-processed with some form of dimensionality reduction for the classification task. Many common methods of su...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...