Nonredundant sparse feature extraction using autoencoders with receptive fields clustering.
Babajide O. AyindeJacek M. ZuradaPublished in: Neural Networks (2017)
Keyphrases
- receptive fields
- feature extraction
- biologically inspired
- smooth functions
- natural images
- hidden layer
- primary visual cortex
- clustering algorithm
- visual cortex
- denoising
- image representation
- image processing
- pattern recognition
- data points
- image classification
- input space
- neural network
- dimensionality reduction
- feature space
- feature selection
- feed forward
- support vector machine svm
- saliency map
- principal component analysis
- artificial neural networks