Regularized max-min linear discriminant analysis.
Guowan ShaoNong SangPublished in: Pattern Recognit. (2017)
Keyphrases
- max min
- linear discriminant analysis
- discriminant analysis
- kernel discriminant analysis
- face recognition
- dimensionality reduction
- min max
- dimension reduction
- principal component analysis
- fisher criterion
- high dimensional data
- feature space
- null space
- support vector
- support vector machine svm
- feature extraction
- small sample size
- least squares
- objective function
- scatter matrix
- high dimensional
- simulated annealing
- evolutionary algorithm
- robust optimization
- pattern recognition
- tabu search
- lower bound
- data analysis
- decision making
- scatter matrices
- computer vision
- learning algorithm
- machine learning