Online sufficient dimensionality reduction for sequential high-dimensional time-series

Li, Qingbin

Title:

Online sufficient dimensionality reduction for sequential high-dimensional time-series

dc.contributor.advisor	Xie, Yao
dc.contributor.author	Li, Qingbin
dc.contributor.committeeMember	Song, Le
dc.contributor.committeeMember	Zhou, Enlu
dc.contributor.department	Industrial and Systems Engineering
dc.date.accessioned	2018-08-27T13:26:47Z
dc.date.available	2018-08-27T13:26:47Z
dc.date.created	2015-05
dc.date.issued	2015-01-08
dc.date.submitted	May 2015
dc.date.updated	2018-08-27T13:26:48Z
dc.description.abstract	In this thesis, we present Online Sufficient Dimensionality Reduction (OSDR) algorithm for real-time high-dimensional sequential data analysis.
dc.description.degree	M.S.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/60385
dc.language.iso	en_US
dc.publisher	Georgia Institute of Technology
dc.subject	Online learning
dc.subject	Dimension reduction
dc.subject	Sufficient dimensionality reduction
dc.subject	Stochastic gradient descent
dc.title	Online sufficient dimensionality reduction for sequential high-dimensional time-series
dc.type	Text
dc.type.genre	Thesis
dspace.entity.type	Publication
local.contributor.advisor	Xie, Yao
local.contributor.corporatename	H. Milton Stewart School of Industrial and Systems Engineering
local.contributor.corporatename	College of Engineering
local.relation.ispartofseries	Master of Science in Computational Science and Engineering
relation.isAdvisorOfPublication	20cfdbe0-2d70-482e-87aa-50177fd83b1e
relation.isOrgUnitOfPublication	29ad75f0-242d-49a7-9b3d-0ac88893323c
relation.isOrgUnitOfPublication	7c022d60-21d5-497c-b552-95e489a06569
relation.isSeriesOfPublication	7abc4d22-4032-4b30-8610-58adccb1a74d
thesis.degree.level	Masters