Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method.
Artur JordãoMaiko M. I. LieVictor Hugo Cunha de MeloWilliam Robson SchwartzPublished in: WACV (2021)
Keyphrases
- partial least squares
- dimensionality reduction methods
- discriminant analysis
- principal component analysis
- canonical correlation analysis
- discriminant projection
- dimension reduction
- dimensionality reduction
- factor analysis
- covariance matrix
- incremental learning
- linear discriminant analysis
- face recognition
- data sets
- pairwise
- least squares
- random projections
- cluster analysis
- singular value decomposition
- maximum likelihood
- preprocessing step
- knn
- feature space
- preprocessing