Neural Networks with Local Receptive Fields and Superlinear VC Dimension.
Michael SchmittPublished in: Neural Comput. (2002)
Keyphrases
- receptive fields
- vc dimension
- neural network
- hidden layer
- biologically inspired
- natural images
- upper bound
- lower bound
- sample complexity
- sample size
- back propagation
- inductive inference
- image representation
- feed forward
- pattern recognition
- artificial neural networks
- space time
- saliency map
- multilayer perceptron
- fuzzy logic
- input space
- compression scheme
- neural network model
- neural nets
- worst case
- image segmentation
- radial basis function
- visual attention
- k nearest neighbor
- recurrent neural networks
- fault diagnosis
- decision trees
- image processing
- machine learning