Self-calibrating neural networks for dimensionality reduction.
Yuansi ChenCengiz PehlevanDmitri B. ChklovskiiPublished in: ACSSC (2016)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- linear discriminant analysis
- principal component analysis
- feature extraction
- high dimensionality
- data representation
- low dimensional
- feature space
- back propagation
- high dimensional data
- structure preserving
- network architecture
- principal components
- high dimensional
- artificial neural networks
- fuzzy logic
- neural network model
- focal length
- input space
- feature selection
- random projections
- fuzzy systems
- manifold learning
- feed forward
- data points
- multi layer
- control system
- kernel pca
- nonlinear dimensionality reduction
- global exponential stability
- adaptive resonance theory
- nearest neighbor