Rotation-invariant pattern recognition: A procedure slightly inspired on olfactory system and based on Kohonen network

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dc.contributor.authorPalermo M.B.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T01:43:07Z
dc.date.available2024-03-13T01:43:07Z
dc.date.issued2006
dc.description.abstractA computational scheme for rotation-invariant pattern recognition based on Kohonen neural network is developed. This scheme is slightly inspired on the vertebrate olfactory system, and its goal is to recognize spatiotemporal patterns produced in a two-dimensional cellular automaton that would represent the olfactory bulb activity when submitted to odor stimuli. The recognition occurs through a multi-layer Kohonen network that would represent the olfactory cortex. The recognition is invariant to rotations of the patterns, even when a noise lower than 1% is added. © Springer-Verlag Berlin Heidelberg 2006.
dc.description.firstpage444
dc.description.lastpage450
dc.description.volume4132 LNCS - II
dc.identifier.doi10.1007/11840930_46
dc.identifier.issn1611-3349
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37824
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsAcesso Restrito
dc.titleRotation-invariant pattern recognition: A procedure slightly inspired on olfactory system and based on Kohonen network
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-33749864943
local.scopus.subjectCellular automaton
local.scopus.subjectKohonen network
local.scopus.subjectOdor stimuli
local.scopus.subjectOlfactory system
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33749864943&origin=inward
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