Fast Dimensionality Reduction and Simple PCA.
Matthew PartridgeRafael A. CalvoPublished in: Intell. Data Anal. (1998)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional
- principal components
- low dimensional
- principal components analysis
- feature extraction
- feature space
- high dimensionality
- high dimensional data
- pattern recognition
- manifold learning
- random projections
- preprocessing step
- kernel pca
- linear dimensionality reduction
- discriminant projection
- feature selection
- linear discriminant analysis
- dimensionality reduction methods
- independent component analysis
- dimension reduction
- data points
- input space
- face recognition
- machine learning
- subspace learning
- computer vision
- structure preserving
- semi supervised dimensionality reduction
- pattern recognition and machine learning
- reduced dimensionality
- nonlinear dimensionality reduction
- discriminant analysis
- covariance matrix
- sparse representation
- face images
- case study