PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis.
Adiel CastañoFrancisco Fernández-NavarroCésar Hervás-MartínezPublished in: Neural Process. Lett. (2013)
Keyphrases
- extreme learning machine
- principal component analysis
- support vector regression
- principal components
- feedforward neural networks
- feed forward neural networks
- neural network
- hidden nodes
- dimensionality reduction
- variable selection
- low dimensional
- dimension reduction
- face recognition
- single hidden layer
- gaussian processes
- linear discriminant analysis
- covariance matrix
- face images
- feature extraction
- single layer
- activation function
- singular value decomposition
- feature space
- support vector machine
- hidden neurons
- back propagation
- multi layer
- regression model
- support vector machine svm
- bayesian networks