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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorZwarts, J.
dc.contributor.authorBoer, M.H.T. de
dc.date.accessioned2013-07-30T17:01:04Z
dc.date.available2013-07-30
dc.date.available2013-07-30T17:01:04Z
dc.date.issued2013
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/13588
dc.description.abstractThis thesis relies on a research by Malt et al. (1999). One of the experiments will be used to make a visualisation of the space of containers. This visualisation is a semantic map in the form of a graph. The method that will be used to make the semantic map is feature analysis in combination with the hamming distance. The goal of this thesis is to investigate how connectivity in a feature-based graph is constraining for the categorisation of the objects.
dc.description.sponsorshipUtrecht University
dc.format.extent400826 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleFeature Analysis of Containers
dc.type.contentBachelor Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordssemantics, semantic map, graph, feature-analysis, hamming distance, connectivity
dc.subject.courseuuCognitive Artificial Intelligence


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