A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks.
Cengiz PehlevanDmitri B. ChklovskiiPublished in: NIPS (2015)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- low dimensional
- fuzzy logic
- feature extraction
- high dimensional data
- pattern recognition and machine learning
- high dimensionality
- fault diagnosis
- theoretical framework
- principal component analysis
- artificial neural networks
- back propagation
- computational model
- high dimensional
- multi agent systems
- image processing
- network architecture
- random projections
- feature selection