Ordered hypothesis machines

DOI10.1007/s10851-011-0293-zzbMath1255.68280OpenAlexW2087702077MaRDI QIDQ1932942

G. Beate Zimmer, Don Hush, Reid Porter

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-011-0293-z

zbMATH Keywords

pattern classificationnearest neighbor classificationstack filtersmorphological networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Machine vision and scene understanding (68T45)

Uses Software

• LIBSVM
• OpenCV

Cites Work

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• Morphological perceptrons with competitive learning: lattice-theoretical framework and constructive learning algorithm
• A general framework for fuzzy morphological associative memories
• Reduction techniques for instance-based learning algorithms
• Optimal dyadic decision trees
• Stack Filter Classifiers
• Minimum mean absolute error estimation over the class of generalized stack filters
• Median filtering by threshold decomposition
• Adaptive stack filtering under the mean absolute error criterion
• Random forests

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