Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning.
Mandy LangeDavid NebelThomas VillmannPublished in: ICAISC (1) (2014)
Keyphrases
- hebbian learning
- principal component analysis
- singular value decomposition
- fuzzy cognitive maps
- recurrent neural networks
- neural network
- principal components
- dimensionality reduction
- face recognition
- low dimensional
- covariance matrix
- euclidean space
- feature space
- feature extraction
- high dimensional
- genetic algorithm
- spiking neural networks
- real time