Sparse Fisher's linear discriminant analysis for partially labeled data.
Qiyi LuXingye QiaoPublished in: Stat. Anal. Data Min. (2018)
Keyphrases
- linear discriminant analysis
- partially labeled data
- linear discriminant
- fisher criterion
- discriminant analysis
- semi supervised
- dimensionality reduction
- loss function
- face recognition
- principal component analysis
- class separability
- support vector
- support vector machine
- dimension reduction
- active learning
- high dimensional data
- high dimensional
- feature extraction
- support vector machine svm
- feature space
- null space
- supervised learning
- co training
- semi supervised learning
- neural network
- nearest neighbor
- image processing
- pairwise
- labeled data
- text mining
- random projections
- multi class
- scatter matrix
- computer vision