Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/21765
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dc.contributor.authorBailey, Ida E.en_US
dc.contributor.authorBackes, Andréen_US
dc.contributor.authorWalsh, Patrick T.en_US
dc.date.accessioned2016-06-25T01:57:26Z
dc.date.available2016-06-25T01:57:26Z
dc.date.issued2015en_US
dc.identifier.otherHPU4160261en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21765en_US
dc.description.abstractIn nature, many animals build structures that can be readily measured at the scale of their gross morphology (e.g. length, volume and weight). Capturing individuality as can be done with the structures designed and built by human architects or artists, however, is more challenging. Here, we tested whether computer-aided image texture classification approaches can be used to describe textural variation in the nests of weaverbirds (Ploceusspecies) in order to attribute nests to the individual weaverbird that built them.en_US
dc.format.extent13 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherThe Royal Societyen_US
dc.subjectBiologyen_US
dc.subjectStructural biologyen_US
dc.subjectEcologyen_US
dc.subjectBehaviouren_US
dc.subjectTexture analysisen_US
dc.subjectBiologicalen_US
dc.titleImage analysis of weaverbird nests reveals signature weave texturesen_US
dc.typeBooken_US
dc.size703KBen_US
dc.departmentEducationen_US
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