Relaxed 2-D Principal Component Analysis by Lp Norm for Face Recognition.
Xiao ChenZhigang JiaYunfeng CaiMeixiang ZhaoPublished in: ICIC (1) (2019)
Keyphrases
- lp norm
- principal component analysis
- face recognition
- face images
- linear discriminant analysis
- special case
- discriminant analysis
- multiple kernel learning
- feature extraction
- principal components
- dimensionality reduction
- optimal solution
- error metrics
- linear program
- convergence rate
- computer vision
- low dimensional
- stack filters
- feature space
- fisher linear discriminant
- phase unwrapping
- edge detection