An unsupervised neural model for oriented principal component extraction.
Kostas I. DiamantarasSun-Yuan KungPublished in: ICASSP (1991)
Keyphrases
- principal components
- neural model
- neural network
- principal component analysis
- recurrent neural networks
- neural models
- multivariate data
- dimensionality reduction
- control scheme
- hyperplane
- kernel space
- multi layer perceptron
- unsupervised learning
- principal component regression
- pattern recognition
- covariance matrix
- principal curves
- hopfield network
- computer vision
- control strategy
- experimental data
- semi supervised
- fuzzy logic
- support vector
- feature extraction