An adaptive learning algorithm for principal component analysis.
Liang-Hwa ChenShyang ChangPublished in: IEEE Trans. Neural Networks (1995)
Keyphrases
- principal component analysis
- learning algorithm
- training procedure
- principal components
- dimensionality reduction
- covariance matrix
- face recognition
- independent component analysis
- reinforcement learning
- singular value decomposition
- learning problems
- low dimensional
- supervised learning
- linear discriminant analysis
- generalization ability
- computer vision
- machine learning
- learning scheme
- dimension reduction
- learning rate
- face images
- active learning
- feature extraction
- adaptive learning
- signal processing
- training data
- rbf network
- sample complexity
- negative matrix factorization
- random projections
- neural network
- dimension reduction methods
- generalization error
- sample size
- back propagation
- machine learning algorithms
- training examples
- learning process
- feature space
- e learning