Robust data representation using locally linear embedding guided PCA.
Bo JiangChris DingBin LuoPublished in: Neurocomputing (2018)
Keyphrases
- data representation
- dimensionality reduction
- locally linear embedding
- principal component analysis
- subspace learning
- nonlinear dimensionality reduction
- principal components analysis
- manifold learning
- dimensionality reduction methods
- low dimensional
- high dimensional data
- high dimensional
- data points
- laplacian eigenmaps
- linear discriminant analysis
- preprocessing step
- random projections
- singular value decomposition
- feature space
- pattern recognition
- locality preserving projections
- feature selection
- manifold learning algorithm
- facial pose
- principal components
- feature extraction
- kernel pca
- discriminant analysis
- face recognition
- image processing
- database