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Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). (Computational Brain Science Lab)ORCID iD: 0000-0002-9081-2170
2019 (English)Report (Other academic)
Place, publisher, year, edition, pages
2019. , p. 29
Keywords [en]
hand-crafted, structured, deep, hierarchical, network, scale covariance, scale invariance, differential expression, quasi quadrature, complex cell, feature detection, texture analysis, texture classification, scale space, deep learning, computer vision
National Category
Computer graphics and computer vision Bioinformatics (Computational Biology)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-363941DOI: 10.48550/arXiv.1905.13555OAI: oai:DiVA.org:kth-363941DiVA, id: diva2:1961986
Funder
Swedish Research Council, 2018-03586Available from: 2025-05-28 Created: 2025-05-28 Last updated: 2025-05-28

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Lindeberg, Tony
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CiteExportLink to record
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