Convergence properties of a class of learning vector quantization algorithms.
Elias B. KosmatopoulosManolis A. ChristodoulouPublished in: IEEE Trans. Image Process. (1996)
Keyphrases
- learning vector quantization
- orders of magnitude
- data structure
- computationally efficient
- computational cost
- optimization problems
- optimization methods
- theoretical justification
- machine learning
- stochastic approximation
- initial conditions
- benchmark datasets
- machine learning algorithms
- significant improvement
- active learning
- computational complexity
- image processing