-Norm LDA for Outliers Robust Dimension Reduction.
Zheng WangFeiping NieCanyu ZhangRong WangXuelong LiPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- dimension reduction
- linear discriminant analysis
- principal component analysis
- feature extraction
- high dimensional data
- low dimensional
- high dimensional problems
- high dimensional
- variable selection
- singular value decomposition
- dimensionality reduction
- classical linear discriminant analysis
- manifold learning
- feature selection
- data points
- discriminative information
- preprocessing
- feature space
- cluster analysis
- discriminant analysis
- face recognition
- random projections
- unsupervised learning
- high dimensional data analysis
- principle component analysis
- small sample size
- neural network
- dimension reduction methods
- image processing
- latent dirichlet allocation
- image sequences