Semisupervised kernel orthonormalized partial least squares.
Emma Izquierdo-VerdiguierJerónimo Arenas-GarcíaSergio Muñoz-RomeroLuis Gómez-ChovaGustavo Camps-VallsPublished in: MLSP (2012)
Keyphrases
- partial least squares
- principal component regression
- regression method
- semi supervised
- dimension reduction
- discriminant analysis
- canonical correlation analysis
- kernel function
- kernel space
- regression methods
- factor analysis
- feature space
- support vector
- feature extraction
- least squares support vector machine
- kernel learning
- ls svm
- principal components
- pattern recognition
- computer vision
- principal component analysis
- least squares
- data points