Input Feature Extraction for Multilayered Perceptrons Using Supervised Principal Component Analysis.
Stavros J. PerantonisVassilis VirvilisPublished in: Neural Process. Lett. (1999)
Keyphrases
- principal component analysis
- feature extraction
- multi layered
- dimension reduction
- linear discriminant analysis
- dimensionality reduction
- discriminant analysis
- face recognition
- neural classifier
- pattern recognition
- covariance matrix
- feature space
- independent component analysis
- face images
- principal components
- kernel principal component analysis
- unsupervised learning
- discriminant projection
- learning algorithm
- low dimensional
- supervised learning
- feature vectors
- pattern classification
- feature selection
- image processing
- preprocessing
- machine learning
- semi supervised
- learning tasks
- frequency domain
- texture analysis
- wavelet transform
- manifold learning
- extracted features
- activation function
- single layer
- input data