A closed-form neural network for discriminatory feature extraction from high-dimensional data.
Ashit TalukderDavid P. CasasentPublished in: Neural Networks (2001)
Keyphrases
- closed form
- high dimensional data
- neural network
- feature extraction
- dimensionality reduction
- dimension reduction
- linear discriminant analysis
- manifold learning
- nearest neighbor
- low dimensional
- high dimensionality
- high dimensional
- pattern recognition
- feature set
- subspace clustering
- similarity search
- data points
- principal component analysis
- data sets
- closed form solutions
- input space
- feature space
- feature selection
- data analysis
- high dimensional spaces
- feature vectors
- point correspondences
- lower dimensional
- discriminant analysis
- support vector machine svm
- database
- image processing
- missing values
- input data
- high dimensional datasets
- nonlinear dimensionality reduction
- high dimensional data sets
- euclidean distance
- face images
- face recognition
- dimensional data