Hypercomplex Principal Component Pursuit via Convex Optimization.
Takehiko MizoguchiIsao YamadaPublished in: APSIPA (2018)
Keyphrases
- convex optimization
- principal components
- fourier transform
- principal component analysis
- interior point methods
- dimensionality reduction
- low rank
- primal dual
- convex optimization problems
- image representation
- principal component regression
- total variation
- hyperplane
- convex relaxation
- classification accuracy
- image processing
- feature selection
- multiresolution