Kernel evolving neural networks for sequential principal component analysis and its adaptive learning algorithm.
Anastasiia DeinekoYana V. KutsenkoIryna PlissMaksym ShalamovPublished in: CSIT (2015)
Keyphrases
- learning algorithm
- principal component analysis
- training procedure
- feature space
- principal components
- kernel pca
- face recognition
- dimension reduction
- kernel methods
- feature extraction
- kernel function
- machine learning algorithms
- machine learning
- independent component analysis
- reinforcement learning
- linear discriminant analysis
- training data
- learning scheme
- support vector
- active learning
- covariance matrix
- supervised learning
- back propagation
- decision trees
- learning problems
- face images
- evolutionary algorithm
- learning process
- training examples
- input space
- training samples
- maximum margin
- model selection
- kernel machines
- perceptron algorithm
- kernel principal component analysis
- low dimensional