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dc.contributor.author陳炳鴻zh_TW
dc.contributor.author林進燈zh_TW
dc.contributor.author楊谷洋zh_TW
dc.contributor.authorChen, Bing-Hongen_US
dc.contributor.authorLin, Chin-Tengen_US
dc.contributor.authorYoung, Ku-Youngen_US
dc.date.accessioned2018-01-24T07:38:51Z-
dc.date.available2018-01-24T07:38:51Z-
dc.date.issued2015en_US
dc.identifier.urihttp://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070260010en_US
dc.identifier.urihttp://hdl.handle.net/11536/140017-
dc.language.isozh_TWen_US
dc.subject行人偵測zh_TW
dc.subject自適應增強演算法zh_TW
dc.subject部位偵測模型zh_TW
dc.subjectPedestrian detectionen_US
dc.subjectAdaptive boostingen_US
dc.subjectDeformable part modelen_US
dc.title使用部位深度Haar特徵網路之行人偵測zh_TW
dc.titlePedestrian Detection using Part-based Deep Haar Boosting Networken_US
dc.typeThesisen_US
dc.contributor.department電控工程研究所zh_TW
Appears in Collections:Thesis