The High-Dimensional Geometry of Binary Neural Networks.
Alexander G. AndersonCory P. BergPublished in: CoRR (2017)
Keyphrases
- high dimensional
- neural network
- binary data
- pattern recognition
- dimensionality reduction
- low dimensional
- nearest neighbor
- similarity search
- high dimensional data
- three dimensional
- fuzzy logic
- self organizing maps
- recurrent neural networks
- artificial neural networks
- genetic algorithm
- variable selection
- parameter space
- multi dimensional
- neural nets
- high dimensional problems
- sparse data
- input space
- multiscale
- multilayer perceptron
- feed forward
- neural network model
- back propagation
- feature space
- data sets
- multi layer
- fuzzy systems
- network architecture
- hamming distance
- multi layer perceptron
- high dimensional spaces
- high dimension
- kernel function