Principal Component Hierarchy for Sparse Quadratic Programs.
Robbie VreugdenhilViet Anh NguyenArmin EftekhariPeyman Mohajerin EsfahaniPublished in: CoRR (2021)
Keyphrases
- principal components
- quadratic program
- principal component analysis
- dimensionality reduction
- hyperplane
- linear constraints
- maximum margin
- linear program
- correlation coefficient
- convex optimization
- high dimensional
- sparse representation
- principal component regression
- linear programming
- quadratic programming
- approximation algorithms
- mixed integer
- input space
- training samples
- special case
- objective function
- face recognition