Hierarchical neural networks for image interpretation.

DOI10.1007/b11963zbMath1041.68076OpenAlexW1601963269WikidataQ56531304 ScholiaQ56531304MaRDI QIDQ1405985

Sven Behnke

Publication date: 8 September 2003

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/b11963

zbMATH Keywords

neural networkimage understanding

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Machine vision and scene understanding (68T45)

Related Items (5)

Rough sets: some extensions ⋮ Topology and simulations of a hierarchical Markovian radial basis function neural network classifier ⋮ BlackBox: generalizable reconstruction of extremal values from incomplete spatio-temporal data ⋮ Popular raster-based methods of prospectivity modeling and their relationships ⋮ Rough Sets: From Rudiments to Challenges

Uses Software

• MNIST

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