Keyphrases
- input space
- low dimensional
- recurrent neural networks
- feature space
- high dimensional
- dimensionality reduction
- high dimensional data
- manifold learning
- low dimensional manifolds
- data points
- kernel function
- hyperplane
- input data
- embedding space
- euclidean space
- feedforward neural networks
- piecewise linear
- fuzzy neural network
- training set
- high dimensional feature space
- kernel pca
- principal component analysis
- input patterns
- linearly separable
- smooth functions
- neural network
- receptive fields
- nonlinear dimensionality reduction
- machine learning
- feed forward
- pairwise
- user defined
- class labels
- riemannian manifolds
- manifold structure
- unsupervised learning
- multi class
- knn
- image data
- classification accuracy
- pattern recognition