title: Adaptive combination of PCA and VQ networks.
abstract: 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.
authors.affiliation: Inst. fur Stat. und Wahrscheinlichkeitstheorie, Tech. Univ. Wien.
authors.forename: A
authors.initials: A
authors.lastname: Weingessel
authors.forename: H
authors.initials: H
authors.lastname: Bischof
authors.forename: K
authors.initials: K
authors.lastname: Hornik
authors.forename: F
authors.initials: F
authors.lastname: Leisch