Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection.
Ryo InoueHidehisa NakayamaNei KatoPublished in: ICPR (2) (2006)
Keyphrases
- hand written
- discriminant analysis
- class separability
- feature selection
- kernel discriminant analysis
- feature extraction
- character recognition
- digit recognition
- discriminant subspace
- linear discriminant analysis
- printed characters
- kernel fisher discriminant analysis
- feature space
- fisher linear discriminant analysis
- face recognition
- support vector
- kernel trick
- chinese characters
- dimensionality reduction
- principal component analysis
- fisher discriminant analysis
- kernel principal component analysis
- multi class
- fisher criterion
- dimensionality reduction methods
- graph embedding
- generalized discriminant analysis
- kernel methods
- kernel function
- generalized linear
- kernel learning
- text classification
- linear discriminant
- pattern recognition
- feature set
- discriminant vectors
- dimension reduction
- feature vectors
- neural network