On Dimensionality Reduction for Classification and its Application.
Raviv RaichJose A. CostaAlfred O. Hero IIIPublished in: ICASSP (5) (2006)
Keyphrases
- dimensionality reduction
- feature extraction
- pattern recognition
- feature space
- pattern classification
- classification accuracy
- decision trees
- machine learning
- class discrimination
- pattern recognition and machine learning
- classification scheme
- high dimensionality
- classification algorithm
- decision rules
- unsupervised learning
- support vector
- principal component analysis
- classification systems
- automatic classification
- dimension reduction
- classification method
- feature vectors
- feature selection
- kernel learning
- classification process
- classification rules
- feature set
- low dimensional
- machine learning algorithms
- text categorization
- neural network
- benchmark datasets
- semi supervised
- support vector machine
- training data
- training samples
- principal components
- support vector machine svm
- data analysis
- high dimensional data
- pairwise
- supervised learning
- svm classifier
- class labels