Fast Fisher discriminant analysis with randomized algorithms.
Haishan YeYujun LiCheng ChenZhihua ZhangPublished in: Pattern Recognit. (2017)
Keyphrases
- randomized algorithms
- fisher discriminant analysis
- discriminant analysis
- lower bound
- principal component analysis
- factor analysis
- multiple kernel learning
- approximation algorithms
- kernel trick
- practical problems
- worst case
- locality preserving projections
- dimensionality reduction methods
- dimensionality reduction
- randomized algorithm
- face recognition
- upper bound
- special case
- feature extraction
- learning algorithm
- cluster analysis
- independent component analysis
- linear discriminant analysis
- data sets
- kernel function
- linear combination
- support vector machine
- machine learning