Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network.
Gustavo DecoLucas C. ParraPublished in: Neural Networks (1997)
Keyphrases
- redundancy reduction
- neural network
- feature extraction
- face recognition
- discriminant projection
- feature selection
- monte carlo
- pattern recognition
- competitive learning
- highly non linear
- artificial neural networks
- signal analysis
- semi supervised
- multi layer neural network
- feature vectors
- neural network is trained
- unsupervised manner
- discriminant analysis
- back propagation
- unsupervised learning
- preprocessing
- supervised learning
- feed forward neural networks
- stochastic model
- recurrent neural networks
- pattern classification
- training algorithm
- image processing
- dimension reduction
- linear discriminant analysis
- extracted features
- fault diagnosis
- fuzzy artmap
- frequency domain
- synaptic weights
- hopfield neural network
- principal component analysis
- texture features
- support vector machine svm
- neural nets
- bp neural network
- manifold learning
- feed forward
- machine learning
- dimensionality reduction
- computer vision
- genetic algorithm
- feature extractor
- image classification
- learning vector quantization
- feature set
- radial basis function
- neural network model