Principal component analysis based on block-norm minimization.
Jian-Xun MiQuanwei ZhuJia LuPublished in: Appl. Intell. (2019)
Keyphrases
- norm minimization
- principal component analysis
- convex optimization
- sparse representation
- matrix completion
- dimensionality reduction
- interior point methods
- principal components
- sparse coding
- unsupervised feature selection
- face recognition
- low dimensional
- feature extraction
- low rank
- face images
- natural images
- unsupervised learning
- data sets
- image classification
- least squares
- objective function
- computer vision