Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas

DOI10.1007/s10044-008-0137-7zbMath1422.68212OpenAlexW1975314995WikidataQ62630485 ScholiaQ62630485MaRDI QIDQ710628

Konrad Jackowski, Michał Woźniak

Publication date: 19 October 2010

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-008-0137-7

zbMATH Keywords

pattern recognitionclusteringselectionevolutionary algorithmsmultiple classifier system

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

One-class support vector ensembles for image segmentation and classification ⋮ Classification through incremental max-min separability

Uses Software

• UCI-ml
• PRTools

Cites Work

• Limits on the majority vote accuracy in classifier fusion
• Ensembling neural networks: Many could be better than all
• Combining Pattern Classifiers
• NAND-AND Circuits
• Decision templates for multiple classifier fusion: An experimental comparison
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