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Liu, Li, Wang, Shu, Su, Guoxin, Huang, Zi-Gang, Liu, Ming (2017) Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. Pattern Recognition, 68. 295-309 doi:10.1016/j.patcog.2017.02.028

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Reference TypeJournal (article/letter/editorial)
TitleTowards complex activity recognition using a Bayesian network-based probabilistic generative framework
JournalPattern Recognition
AuthorsLiu, LiAuthor
Wang, ShuAuthor
Su, GuoxinAuthor
Huang, Zi-GangAuthor
Liu, MingAuthor
Year2017 (August)Volume68
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.02.028Search in ResearchGate
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Mindat Ref. ID9366971Long-form Identifiermindat:1:5:9366971:1
GUID0
Full ReferenceLiu, Li, Wang, Shu, Su, Guoxin, Huang, Zi-Gang, Liu, Ming (2017) Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. Pattern Recognition, 68. 295-309 doi:10.1016/j.patcog.2017.02.028
Plain TextLiu, Li, Wang, Shu, Su, Guoxin, Huang, Zi-Gang, Liu, Ming (2017) Towards complex activity recognition using a Bayesian network-based probabilistic generative framework. Pattern Recognition, 68. 295-309 doi:10.1016/j.patcog.2017.02.028
In(2017) Pattern Recognition Vol. 68. Elsevier BV

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