Spin Discriminant Analysis (SDA) - Using a One-Dimensional Classifier for High Dimensional Classification Problems.
Huaxin YouHong HuaNarendra AhujaEdward Y. ChangPublished in: CVPR (1) (2001)
Keyphrases
- discriminant analysis
- high dimensional
- linear discriminant analysis
- feature space
- kernel principal component analysis
- discriminant functions
- face recognition
- dimensionality reduction
- principal component analysis
- quadratic discriminant analysis
- small sample size
- generalized discriminant analysis
- feature extraction
- training data
- training samples
- high dimensional data
- feature selection
- low dimensional
- generalized linear
- fisher criterion
- decision trees
- high dimensionality
- variable selection
- support vector machine
- fisher discriminant analysis
- training set
- dimension reduction
- nearest neighbor
- learning algorithm
- dimensionality reduction methods
- cluster analysis
- classification method
- support vector
- similarity measure
- kernel discriminant analysis
- discriminant vectors
- pattern recognition
- cross validation
- image processing
- feature set
- discriminant subspace