An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory.
Sylwester CzmilJacek KluskaAnna CzmilPublished in: Int. J. Appl. Math. Comput. Sci. (2024)
Keyphrases
- vector quantization
- image compression
- adaptive resonance theory
- vector quantizer
- input vector
- reduced complexity
- incremental learning
- fuzzy artmap
- art neural network
- fractal image compression
- distortion measure
- neural network
- multiscale
- fractal image coding
- codebook design
- wavelet transform
- neural gas
- similarity measure
- computer vision