Reduced memory footprint in multiparametric quadratic programming by exploiting low rank structure.
Isak NielsenDaniel AxehillPublished in: CDC (2016)
Keyphrases
- low rank
- quadratic programming
- memory footprint
- matrix factorization
- linear combination
- convex optimization
- rank minimization
- linear programming
- missing data
- singular value decomposition
- semi supervised
- kernel matrix
- support vector machine
- low rank matrix
- interior point methods
- memory usage
- high order
- image processing
- high dimensional data
- model selection
- special case
- pairwise