Non-Greedy L21-Norm Maximization for Principal Component Analysis.
Feiping NieLai TianHeng HuangChris DingPublished in: IEEE Trans. Image Process. (2021)
Keyphrases
- principal component analysis
- objective function
- greedy algorithm
- principal components
- dimensionality reduction
- search algorithm
- independent component analysis
- dimension reduction
- discriminant analysis
- face recognition
- feature space
- linear discriminant analysis
- covariance matrix
- feature selection
- greedy heuristic
- low dimensional
- greedy algorithms
- dynamic programming
- regularized least squares
- singular value decomposition
- feature extraction
- data sets
- training procedure
- locally optimal
- linear discriminate analysis
- greedy search
- kernel pca
- hill climbing
- face images
- negative matrix factorization
- search space
- lp norm
- normative systems
- information retrieval