Theory of fractional covariance matrix and its applications in PCA and 2D-PCA.
Chaobang GaoJiliu ZhouQiang PuPublished in: Expert Syst. Appl. (2013)
Keyphrases
- covariance matrix
- principal component analysis
- principal components analysis
- covariance matrices
- principal components
- mahalanobis distance
- geometrical interpretation
- sample size
- lower order
- independent component analysis
- gaussian mixture
- class conditional densities
- eigendecomposition
- positive definite
- linear discriminant analysis
- dimensionality reduction
- principle component analysis
- pseudo inverse
- cma es
- face recognition
- dimension reduction
- low dimensional
- feature space
- computer vision
- special case
- correlation matrix
- eigenvalues and eigenvectors
- feature extraction