Classification constrained dimensionality reduction.
Jose A. CostaAlfred O. Hero IIIPublished in: ICASSP (5) (2005)
Keyphrases
- dimensionality reduction
- feature extraction
- pattern recognition
- high dimensionality
- machine learning
- class discrimination
- high dimensional
- decision trees
- image classification
- support vector machine svm
- unsupervised learning
- high dimensional data
- pattern classification
- classification scheme
- dimensionality reduction methods
- pattern recognition and machine learning
- preprocessing
- classification method
- classification algorithm
- feature selection
- support vector
- principal component analysis
- classification accuracy
- feature vectors
- classification models
- supervised dimensionality reduction
- training set
- pairwise
- principal components analysis
- classification process
- classification systems
- low dimensional
- principal components
- support vector machine
- least squares
- decision rules
- class labels