Adaptive combination of PCA and VQ networks.
In this paper we consider the principal component analysis (PCA) and vector quantization (VQ) neural networks for image compression. We present a method where the PCA and VQ steps are adaptively combined. A learning algorithm for this combined network is derived. We demonstrate that this approach can improve the results of the successive application of the individually optimal methods.
Weingessel
A
A
Inst. fur Stat. und Wahrscheinlichkeitstheorie, Tech. Univ. Wien.
Bischof
H
H
Hornik
K
K
Leisch
F
F