76 search results - page 1 / 16 » Least squares linear discriminant analysis |
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass case has been shown to be equivalent to linear re...
PAMI
2012
11 years 7 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...