On a convergence property of a geometrical algorithm for statistical manifolds.
Shotaro AkahoHideitsu HinoNoboru MurataPublished in: CoRR (2019)
Keyphrases
- convergence property
- computational complexity
- learning algorithm
- detection algorithm
- experimental evaluation
- dynamic programming
- k means
- high accuracy
- linear programming
- simulated annealing
- worst case
- significant improvement
- genetic algorithm
- times faster
- theoretical analysis
- computational cost
- cost function
- probabilistic model
- similarity measure
- objective function
- np hard
- bit rate
- computationally efficient
- segmentation algorithm
- optimization algorithm
- feature selection
- matching algorithm
- association rules
- improved algorithm
- search space