Extreme learning machine for out-of-sample extension in Laplacian eigenmaps.
Arturo Mendoza QuispeCaroline PetitjeanLaurent HeuttePublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- extreme learning machine
- laplacian eigenmaps
- support vector regression
- manifold learning
- feedforward neural networks
- kernel pca
- neural network
- dimensionality reduction
- feed forward neural networks
- hidden nodes
- low dimensional
- gaussian processes
- face recognition
- principal components
- back propagation
- support vector machine svm
- principal component analysis
- pairwise
- training data
- clustering algorithm