Extreme learning machine with autoencoding receptive fields for image classification.
Chao WuYaqian LiZhibiao ZhaoBin LiuPublished in: Neural Comput. Appl. (2020)
Keyphrases
- receptive fields
- extreme learning machine
- image classification
- image representation
- hidden layer
- feedforward neural networks
- feed forward neural networks
- biologically inspired
- support vector regression
- activation function
- natural images
- neural network
- image features
- visual features
- back propagation
- feed forward
- feature extraction
- input space
- saliency map
- artificial neural networks
- multilayer perceptron
- object recognition
- radial basis function
- latent variables
- support vector machine
- image retrieval
- image segmentation
- decision trees
- computer vision