Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems.
Hui LiChunhua ShenAnton van den HengelQinfeng ShiPublished in: CoRR (2014)
Keyphrases
- linear discriminant analysis
- semidefinite
- worst case
- semidefinite programming
- face recognition
- principal component analysis
- dimension reduction
- dimensionality reduction
- convex relaxation
- image processing
- feature extraction
- machine learning
- feature space
- training samples
- support vector machine svm
- high dimensional data