Title:
A Variational inference method for Switching Linear Dynamic Systems

dc.contributor.author Oh, Sang Min
dc.contributor.author Ranganathan, Ananth
dc.contributor.author Rehg, James M.
dc.contributor.author Dellaert, Frank
dc.date.accessioned 2006-03-14T19:22:12Z
dc.date.available 2006-03-14T19:22:12Z
dc.date.issued 2005
dc.description.abstract This paper aims to present a structured variational inference algorithm for switching linear dynamical systems (SLDSs) which was initially introduced by Pavlovic and Rehg. Starting with the need for the variational approach, we proceed to the derivation of the generic (model-independent) variational update formulas which are obtained under the mean field assumption. This leads us to the derivation of an approximate variational inference algorithm for an SLDS. The details of deriving the SLDS-specific variational update equations are presented. en
dc.format.extent 253763 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/8353
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-05-16 en
dc.subject Switching linear dynamic systems en
dc.subject Structured variational method en
dc.title A Variational inference method for Switching Linear Dynamic Systems en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Rehg, James M.
local.contributor.author Dellaert, Frank
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
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