A Unified View of Two-Dimensional Principal Component Analyses.
Kohei InoueKenji HaraKiichi UrahamaPublished in: SSPR/SPR (2012)
Keyphrases
- principal components
- principal component analysis
- dimensionality reduction
- three dimensional
- multivariate data
- hyperplane
- principal component regression
- kernel space
- principal components analysis
- correlation coefficient
- multi dimensional
- feature set
- neural network
- pattern recognition
- linear classifiers
- feature selection
- dimension reduction
- shape representation
- support vector
- image processing
- machine learning