Boosting in Linear Discriminant Analysis.
Marina SkurichinaRobert P. W. DuinPublished in: Multiple Classifier Systems (2000)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant features
- small sample size
- dimension reduction
- feature space
- classification and regression trees
- high dimensional data
- null space
- feature extraction
- fisher criterion
- support vector
- linear discriminant
- support vector machine svm
- class separability
- subspace methods
- discriminative information
- feature selection
- multivariate statistical
- learning algorithm
- ensemble methods
- scatter matrices
- qr decomposition
- generalized discriminant analysis
- machine learning
- scatter matrix
- cost sensitive
- computer vision
- data sets