Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning.
Jianhang ZhouQi ZhangShaoning ZengBob ZhangLeyuan FangPublished in: Pattern Recognit. (2024)
Keyphrases
- linear discriminant analysis
- structural learning
- feature extraction
- discriminant analysis
- dimensionality reduction
- manifold learning
- face recognition
- principal component analysis
- dimension reduction
- bayesian networks
- directed acyclic graph
- graphical models
- support vector machine svm
- null space
- feature space
- small sample size
- low dimensional
- fisher criterion
- high dimensional data
- support vector
- latent variables
- image processing
- feature vectors
- linear discriminant
- discriminant projection
- pca lda
- euclidean space
- feature selection
- discriminant information
- high dimensionality
- random variables
- face images
- semi supervised
- probability distribution
- locality preserving projections
- scatter matrices
- pattern recognition
- scatter matrix