Constrained subspace estimation via convex optimization.
Ignacio SantamaríaJavier VíaMichael KirbyTim MarrinanChris PetersonLouis ScharfPublished in: EUSIPCO (2017)
Keyphrases
- convex optimization
- interior point methods
- low rank
- primal dual
- total variation
- convex relaxation
- semidefinite program
- convex optimization problems
- operator splitting
- convex formulation
- principal component analysis
- norm minimization
- semi definite programming
- high dimensional
- alternating direction method of multipliers
- high dimensional data
- eigendecomposition
- high resolution
- feature vectors
- computer vision