On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm.
Hujun YinNigel M. AllinsonPublished in: IWANN (1993)
Keyphrases
- detection algorithm
- np hard
- preprocessing
- cost function
- dynamic programming
- iterative algorithms
- matching algorithm
- convergence property
- learning algorithm
- feature space
- k means
- convergence rate
- recognition algorithm
- objective function
- worst case
- kalman filter
- filtering algorithm
- linear programming
- dimensionality reduction
- lower bound
- similarity measure
- kalman filtering
- neural network
- rapid convergence
- faster convergence
- optimization algorithm
- graph cuts
- particle swarm optimization
- maximum likelihood
- low dimensional
- simulated annealing
- computational complexity
- optimal solution
- clustering algorithm
- feature selection