Competitive learning algorithms for robust vector quantization

DOI10.1109/78.678486zbMath1012.94535OpenAlexW2144483996MaRDI QIDQ2724231

Thomas Hofmann, Joachim M. Buhmann

Publication date: 10 July 2001

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/283286d74703d3013b3ccc6a69e7ce80daf5a84f

zbMATH Keywords

image compressioncompetitive learningencodingdeterministic annealingcodebook designsource encodingrobust vector quantizationneural networks algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Source coding (94A29)

Related Items (4)

Topographic Mapping of Large Dissimilarity Data Sets ⋮ Predictive modelling of heterogeneous sequence collections by topographic ordering of histories ⋮ Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns ⋮ Adaptive filtering with the self-organizing map: a performance comparison

This page was built for publication: Competitive learning algorithms for robust vector quantization