A parallel hierarchical blocked adaptive cross approximation algorithm.
Yang LiuWissam M. Sid-LakhdarElizaveta RebrovaPieter GhyselsXiaoye Sherry LiPublished in: Int. J. High Perform. Comput. Appl. (2020)
Keyphrases
- np hard
- detection algorithm
- improved algorithm
- learning algorithm
- binary tree
- experimental evaluation
- search space
- closed form
- times faster
- theoretical analysis
- linear programming
- matching algorithm
- parallel implementation
- computational complexity
- optimal solution
- objective function
- approximation ratio
- image sequences
- parallel computation
- optimization algorithm
- segmentation algorithm
- computationally efficient
- particle swarm optimization
- bayesian networks
- significant improvement
- cost function
- dynamic programming
- simulated annealing
- monte carlo
- classification algorithm
- mobile robot
- probabilistic model
- worst case
- k means
- lower bound
- preprocessing
- depth first search
- expectation maximization
- error tolerance