Locality preserving projection least squares twin support vector machine for pattern classification.
Sugen ChenXiao-Jun WuJuan XuPublished in: Pattern Anal. Appl. (2020)
Keyphrases
- pattern classification
- least squares
- locality preserving projections
- support vector machine
- decision boundary
- face recognition
- subspace methods
- dimensionality reduction
- locality preserving
- feature extraction
- linear discriminant analysis
- pattern recognition
- manifold learning
- support vector machine svm
- principal component analysis
- svm classifier
- feature vectors
- support vector
- machine learning
- feature space
- canonical correlation analysis
- subspace learning
- classification method
- kernel methods
- feature selection
- sparse coding
- principal components analysis
- data sets
- training set
- k nearest neighbor
- manifold structure
- riemannian manifolds
- data points
- training data
- high dimensional
- decision trees
- facial images
- discriminant analysis
- singular value decomposition