Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification.
Vincent LaurainRoland TóthDario PigaMohamed Abdelmonim Hassan DarwishPublished in: Autom. (2020)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- random projections
- interior point methods
- low rank matrix
- low rank
- total variation
- primal dual
- convex relaxation
- norm minimization
- group lasso
- kernel methods
- reproducing kernel hilbert space
- operator splitting
- convex optimization problems
- compressed sensing
- sparse representation
- loss function
- special case
- sparse coding
- sparse matrix
- image restoration
- motion estimation
- multiresolution
- alternating direction method of multipliers
- computer vision