Reduced-Rank L1-Norm Principal-Component Analysis With Performance Guarantees.
Hossein KamraniAlireza Zolghadr-E-AsliPanos P. MarkopoulosMichael LangbergDimitris A. PadosGeorge N. KarystinosPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- principal component analysis
- principal components
- covariance matrix
- dimension reduction
- face recognition
- linear discriminant analysis
- feature space
- dimensionality reduction
- discriminant analysis
- independent component analysis
- database
- real time
- feature extraction
- training procedure
- random projections
- significantly reduced
- neural classifier
- low dimensional
- objective function
- machine learning
- neural network