Derivation of Symmetric PCA Learning Rules from a Novel Objective Function.
Ralf MöllerPublished in: CoRR (2020)
Keyphrases
- learning rules
- objective function
- principal component analysis
- covariance matrix
- neural network
- principal components analysis
- biologically inspired
- artificial neural networks
- dimensionality reduction
- principal components
- hybrid neural
- principle component analysis
- independent component analysis
- optimization problems
- optimal solution
- learning scheme
- constrained optimization
- boltzmann machine
- learning algorithm
- cost function
- multi objective
- feature space
- face recognition
- back propagation
- high dimensional
- feature extraction
- feasible solution
- singular value decomposition
- linear discriminant analysis
- linear programming
- face images
- co occurrence
- kernel pca
- learned rules