Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis.
Naoto AbeMineichi KudoMasaru ShimboPublished in: SSPR/SPR (2002)
Keyphrases
- discriminant analysis
- feature selection
- automatic relevance determination
- feature extraction
- linear discriminant analysis
- feature set
- feature space
- class separability
- support vector
- principal component analysis
- face recognition
- feature selection algorithms
- dimensionality reduction
- discriminant functions
- support vector machine
- feature subset
- dimension reduction
- text categorization
- mutual information
- classification accuracy
- text classification
- generalized linear
- fisher discriminant analysis
- quadratic discriminant analysis
- training set
- scatter matrices
- machine learning
- discriminant subspace
- cluster analysis
- classification method
- multi class
- fisher criterion
- high dimensionality
- model selection
- generalized discriminant analysis
- discriminant vectors
- pattern recognition
- training samples
- graph embedding
- bayesian classifier
- subspace learning
- independent component analysis
- low dimensional
- active learning
- support vector machine svm
- classification algorithm
- learning algorithm
- neural network