Widely linear complex partial least squares for latent subspace regression.
Alexander E. StottSithan KannaDanilo P. MandicPublished in: Signal Process. (2018)
Keyphrases
- partial least squares
- principal component analysis
- principal component regression
- dimension reduction
- discriminant analysis
- regression method
- regression methods
- low dimensional
- canonical correlation analysis
- principal components
- factor analysis
- ls svm
- feature extraction
- high dimensional
- feature space
- optical flow
- high dimensional data
- regression model
- neural network
- computer vision