A convex optimization approach to worst-case optimal sensor selection.
Yin WangMario SznaierFabrizio DabbenePublished in: CDC (2013)
Keyphrases
- convex optimization
- worst case
- upper bound
- interior point methods
- convex optimization problems
- low rank
- np hard
- convex relaxation
- lower bound
- dynamic programming
- approximation algorithms
- norm minimization
- total variation
- operator splitting
- primal dual
- support vector
- computer vision
- convex formulation
- semidefinite program
- linear combination
- image compression
- high quality
- image segmentation
- semi definite programming
- low rank matrix
- convex constraints
- machine learning