A Folded Neural Network Autoencoder for Dimensionality Reduction.
Jing WangHaibo HeDanil V. ProkhorovPublished in: INNS-WC (2012)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- artificial neural networks
- high dimensionality
- high dimensional data
- high dimensional
- feedforward neural networks
- low dimensional
- principal component analysis
- data representation
- feature extraction
- back propagation
- principal components
- neural network model
- genetic algorithm
- pattern recognition and machine learning
- nonlinear dimensionality reduction
- unsupervised learning
- multi layer
- neural network is trained
- graph embedding
- learning vector quantization
- random projections
- activation function
- computer vision
- fuzzy logic
- prediction model
- radial basis function
- recurrent neural networks
- data sets
- self organizing maps
- bp neural network
- discriminant analysis
- feature selection
- kernel learning
- feed forward neural networks
- input space
- network architecture
- training algorithm
- hidden layer
- metric learning
- associative memory