On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds.
Shotaro AkahoHideitsu HinoNoboru MurataPublished in: ICONIP (5) (2019)
Keyphrases
- convergence property
- computational complexity
- preprocessing
- probabilistic model
- detection algorithm
- k means
- search space
- dynamic programming
- times faster
- high accuracy
- objective function
- optimization algorithm
- computational cost
- clustering method
- theoretical analysis
- clustering algorithm
- recognition algorithm
- convergence rate
- path planning
- segmentation algorithm
- particle swarm optimization
- data sets
- experimental evaluation
- cost function
- significant improvement
- feature space