L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.
Chun-Na LiYi LiYan-Hui MengPei-Wei RenYuan-Hai ShaoPublished in: IEEE Access (2023)
Keyphrases
- linear discriminant analysis
- norm minimization
- nuclear norm
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- sparse representation
- feature extraction
- convex optimization
- dimension reduction
- matrix completion
- support vector
- alternating direction method of multipliers
- high dimensional data
- rank minimization
- support vector machine svm
- null space
- high dimensional
- feature space
- random projections
- trace norm
- sparse coding
- interior point methods
- data sets
- image classification
- machine learning
- norm regularization
- computer vision
- objective function
- compressed sensing
- low rank
- total variation
- principal components
- pairwise
- multi class
- input image