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Investigation of Features and Unsupervised Learning Approach For Human Activity Discovery

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dc.contributor.advisorOng, wee Hong, Dr.
dc.contributor.authorMd Amran Hossen
dc.date.accessioned2025-06-06T07:25:41Z
dc.date.available2025-06-06T07:25:41Z
dc.date.issued2020
dc.descriptionxi, 83 pages : colour illustrations ; 31 cm. | Thesis submitted in fullfillment of the requirement for thr degree of Master of Science in Computer Science. | Thesis is also avalable in CD and not for loan or for reference use. | Thesis (Master) - Universiti Brunei Darussalam, 2020.
dc.format.extentxi, 83 pages : colour illustrations ; 31 cm.
dc.identifier.urihttps://repository.ubd.edu.bn/handle/123456789/3117
dc.language.isoen
dc.publisherUniversiti Brunei Darussalam.
dc.subjectComputer vision. | Human activity recognition -- Data processing. | Pattern recognition systems. | Image processing -- Digital techniques.
dc.titleInvestigation of Features and Unsupervised Learning Approach For Human Activity Discovery
dc.typeMaster’s Thesis
dspace.entity.typePublication
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