| dc.contributor.author | Stowell, D | en_US |
| dc.contributor.author | Plumbley, MD | en_US |
| dc.date.accessioned | 2015-12-18T12:56:26Z | |
| dc.date.available | 2013-03-01 | en_US |
| dc.date.issued | 2013-08 | en_US |
| dc.identifier.issn | 1532-4435 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/9955 | |
| dc.description.sponsorship | DS and MP are supported by EPSRC Leadership Fellowship EP/G007144/1. | en_US |
| dc.format.extent | 2213 - 2238 | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | JOURNAL OF MACHINE LEARNING RESEARCH | en_US |
| dc.rights | The definitive publisher-authenticated version Stowell, Dan, and Mark D. Plumbley. "Segregating event streams and noise with a markov renewal process model." The Journal of Machine Learning Research 14.1 (2013): 2213-2238. is available online at:http://www.jmlr.org/papers/volume14/stowell13a/stowell13a.pdf | |
| dc.subject | multi-target tracking | en_US |
| dc.subject | clustering | en_US |
| dc.subject | point processes | en_US |
| dc.subject | flow network | en_US |
| dc.subject | sound | en_US |
| dc.title | Segregating Event Streams and Noise with a Markov Renewal Process Model | en_US |
| dc.type | Article | |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000324799600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | No embargo | en_US |
| pubs.notes | Please note that I agreed with the publishers to add a CC-BY 3.0 licence to this paper. The licence text was placed in the "Acknowledgments". | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 14 | en_US |
