Show simple item record

dc.contributor.authorTran, Dung
dc.contributor.authorPhung, Dinh
dc.contributor.authorBui, H.H.
dc.contributor.authorVenkatesh, Svetha
dc.contributor.editorY.Y. Tang, S.P.Wang, G. Lorette, D.S. Young, H. Yang
dc.date.accessioned2017-01-30T11:20:20Z
dc.date.available2017-01-30T11:20:20Z
dc.date.created2014-10-28T02:31:41Z
dc.date.issued2006
dc.identifier.citationTran, D. and Phung, D. and Bui, H.H. and Venkatesh, S. 2006. A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment, in Y.Y. Tang et al (ed), Proceedings of the 18th International Conference on Pattern Recognition, Aug 20-24 2006, pp. 168-172. Hong Kong: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/10676
dc.identifier.doi10.1109/ICPR.2006.154
dc.description.abstract

To tackle the problem of increasing numbers of state transition parameters when the number of sensors increases, we present a probabilistic model together with several parsinomious representations for sensor fusion. These include context specific independence (CSI), mixtures of smaller multinomials and softmax function representations to compactly represent the state transitions of a large number of sensors. The model is evaluated on real-world data acquired through ubiquitous sensors in recognizing daily morning activities. The results show that the combination of CSI and mixtures of smaller multinomials achieves comparable performance with much fewer parameters.

dc.publisherIEEE Coputer Society Conference Publishing Services
dc.titleA probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment
dc.typeConference Paper
dcterms.source.startPage168
dcterms.source.endPage172
dcterms.source.titleProceedings of the 18th International Conference on Pattern Recognition Vol 3
dcterms.source.seriesProceedings of the 18th International Conference on Pattern Recognition Vol 3
dcterms.source.isbn0-7695-2521-0
dcterms.source.conferenceInternational Conference on Pattern Recognition 2006
dcterms.source.conference-start-dateAug 20 2006
dcterms.source.conferencelocationHong Kong
dcterms.source.placeLos Alamitos, USA
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record