Self-calibrating Neural Networks for Dimensionality Reduction.
Yuansi ChenCengiz PehlevanDmitri B. ChklovskiiPublished in: CoRR (2016)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- principal component analysis
- pattern recognition and machine learning
- data representation
- principal components
- nonlinear dimensionality reduction
- high dimensionality
- high dimensional data
- low dimensional
- high dimensional
- feature extraction
- fuzzy logic
- back propagation
- linear dimensionality reduction
- structure preserving
- feature selection
- random projections
- data points
- genetic algorithm
- lower dimensional
- recurrent neural networks
- neural nets
- fault diagnosis
- self organizing maps
- dimensionality reduction methods
- manifold learning
- control system
- linear projection
- feature space
- multidimensional scaling
- rule extraction
- radial basis function
- multi layer perceptron
- network architecture
- fuzzy systems
- multi layer
- face recognition
- associative memory
- input space