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dc.contributor.authorWu, Jiann-Ming
dc.contributor.authorLin, Zheng-Han
dc.date.accessioned2009-08-23T04:41:16Z
dc.date.accessioned2020-05-25T06:37:54Z-
dc.date.available2009-08-23T04:41:16Z
dc.date.available2020-05-25T06:37:54Z-
dc.date.issued2006-10-24T01:00:42Z
dc.date.submitted2002-12-18
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2319-
dc.description.abstractThis work explores generative models of handwritten digit images using natural elastic net. The analysis aims to discober global features as well as distributed local features of handwritten digits. These features are expected to form a significant basis for discriminant analsis of handwritten digits and relate analysis of handwritten characters that are beyond digits but possess similar features.
dc.description.sponsorship東華大學,花蓮縣
dc.format.extent14p.
dc.format.extent390699 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2002 ICS會議
dc.subjectneural networks
dc.subjectgenerative models
dc.subjectcortical maps
dc.subjectelastic net
dc.subjectPotts model
dc.subjectself-organization
dc.subjectunsupervised leaning
dc.subjecthandwritten digits
dc.titleLearning generative models of handwritten digit images
分類:2002年 ICS 國際計算機會議

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