Lattice-based training of bottleneck feature extraction neural networks.
Matthias PaulikPublished in: INTERSPEECH (2013)
Keyphrases
- neural network
- feature extraction
- training process
- training algorithm
- pattern recognition
- feed forward neural networks
- feedforward neural networks
- back propagation
- multi layer perceptron
- fuzzy logic
- image processing
- training phase
- extracted features
- backpropagation algorithm
- feature vectors
- training set
- pattern classification
- training patterns
- feature selection
- image classification
- training samples
- multi layer
- face recognition
- neural network model
- feed forward
- feature set
- linear discriminant analysis
- recurrent networks
- feature space
- genetic algorithm
- rule extraction
- error back propagation
- multilayer neural network
- concept lattice
- associative memory
- radial basis function
- texture features
- support vector machine svm
- dimensionality reduction
- rough sets
- principal component analysis
- supervised learning
- preprocessing
- training data
- machine learning