A Globally and Quadratically Convergent Algorithm for Solving Multilinear Systems with ℳ-tensors.
Hongjin HeChen LingLiqun QiGuanglu ZhouPublished in: J. Sci. Comput. (2018)
Keyphrases
- experimental evaluation
- detection algorithm
- computational cost
- learning algorithm
- matching algorithm
- cost function
- np hard
- dynamic programming
- gradient projection
- optimization algorithm
- simulated annealing
- high accuracy
- probabilistic model
- lower bound
- preprocessing
- k means
- evolutionary algorithm
- expectation maximization
- segmentation algorithm
- computational complexity
- globally optimal
- provably convergent
- optimal solution