A conjugate gradient-based algorithm for large-scale quadratic programming problem with one quadratic constraint.
Akram TaatiMaziar SalahiPublished in: Comput. Optim. Appl. (2019)
Keyphrases
- detection algorithm
- computational complexity
- dynamic programming
- high accuracy
- objective function
- cost function
- learning algorithm
- optimization algorithm
- computationally efficient
- probabilistic model
- path planning
- np hard
- preprocessing
- similarity measure
- convex hull
- k means
- recognition algorithm
- feature space
- computational cost
- optimal solution
- input data
- segmentation algorithm
- real world
- times faster
- improved algorithm
- matching algorithm
- classification algorithm
- monte carlo
- experimental evaluation
- multi objective
- significant improvement
- lower bound
- image sequences