Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems.
Daiki IkamiToshihiko YamasakiKiyoharu AizawaPublished in: CVPR (2017)
Keyphrases
- least squares
- optimization problems
- efficient algorithms for solving
- benchmark problems
- levenberg marquardt
- optimization algorithm
- nonlinear least squares
- np hard
- combinatorial optimization
- dynamic programming
- optimal solution
- cost function
- computationally efficient
- objective function
- linear least squares
- optimization process
- learning algorithm
- computational complexity
- parameter estimation
- sparse linear
- curve fitting
- policy iteration
- particle swarm optimization
- global optimization
- detection algorithm
- worst case
- nonlinear programming
- expectation maximization
- optimization criteria
- trust region
- convergence rate
- k means
- mixed integer nonlinear programming
- quadratic optimization problems