Robust multivariate L1 principal component analysis and dimensionality reduction.
Junbin GaoPaul Wing Hing KwanYi GuoPublished in: Neurocomputing (2009)
Keyphrases
- dimensionality reduction
- principal component analysis
- principal components
- low dimensional
- linear discriminant analysis
- lower dimensional
- covariance matrix
- dimension reduction
- feature space
- subspace learning
- high dimensional data
- manifold learning
- random projections
- nonlinear dimensionality reduction
- feature extraction
- face recognition
- high dimensionality
- robust estimation
- linear projection
- independent component analysis
- pattern recognition
- singular value decomposition
- high dimensional
- pattern recognition and machine learning
- dimensionality reduction methods
- locally linear embedding
- face images
- data points
- data analysis
- kernel learning
- input image
- multidimensional scaling
- multivariate data
- mixed data
- dimensional reduction
- feature selection
- data sets