Sparse Approximations with Interior Point Methods.
Valentina De SimoneDaniela di SerafinoJacek GondzioSpyridon PougkakiotisMarco ViolaPublished in: CoRR (2021)
Keyphrases
- interior point methods
- sparse approximations
- sparse representation
- convex optimization
- gaussian process
- semidefinite programming
- linear programming
- primal dual
- linear program
- quadratic programming
- solving problems
- computationally intensive
- pattern recognition
- image classification
- semi supervised
- convergence rate
- bayesian framework
- regression model
- natural images
- probabilistic model
- dynamic programming
- machine learning