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dc.contributor.advisorXie, Yao
dc.contributor.authorLi, Qingbin
dc.date.accessioned2018-08-27T13:26:47Z
dc.date.available2018-08-27T13:26:47Z
dc.date.created2015-05
dc.date.issued2015-01-08
dc.date.submittedMay 2015
dc.identifier.urihttp://hdl.handle.net/1853/60385
dc.description.abstractIn this thesis, we present Online Sufficient Dimensionality Reduction (OSDR) algorithm for real-time high-dimensional sequential data analysis.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectOnline learning
dc.subjectDimension reduction
dc.subjectSufficient dimensionality reduction
dc.subjectStochastic gradient descent
dc.titleOnline sufficient dimensionality reduction for sequential high-dimensional time-series
dc.typeThesis
dc.description.degreeM.S.
dc.contributor.departmentIndustrial and Systems Engineering
thesis.degree.levelMasters
dc.contributor.committeeMemberSong, Le
dc.contributor.committeeMemberZhou, Enlu
dc.date.updated2018-08-27T13:26:48Z


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