Bayes-optimality motivated linear and multilayered perceptron-based dimensionality reduction.
Rohit LotlikarRavi KothariPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- dimensionality reduction
- support vector
- low dimensional
- high dimensional data
- data representation
- learning algorithm
- feature selection
- high dimensional
- pattern recognition and machine learning
- linear discriminant analysis
- metric learning
- structure preserving
- optimal solution
- feature extraction
- decision trees
- computer vision
- pattern recognition
- nonlinear dimensionality reduction
- high dimensionality
- linear dimensionality reduction
- input space
- principal component analysis
- manifold learning
- closed form
- data sets
- support vector machine
- data points
- pairwise
- training data
- neural network