Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method.
Artur JordãoMaiko LieVictor Hugo Cunha de MeloWilliam Robson SchwartzPublished in: CoRR (2019)
Keyphrases
- learning algorithm
- partial least squares
- dimensionality reduction methods
- discriminant analysis
- principal component analysis
- canonical correlation analysis
- dimension reduction
- dimensionality reduction
- discriminant projection
- covariance matrix
- linear discriminant analysis
- factor analysis
- regression methods
- face recognition
- incremental learning
- feature extraction
- ls svm
- random projections
- pattern recognition
- preprocessing step
- principal components analysis
- data sets
- independent component analysis
- knn
- low dimensional
- data points
- singular value decomposition