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Ma, Guangkai, Wu, Ligang, Wang, Yan (2017) A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition. Pattern Recognition, 66. 280-294 doi:10.1016/j.patcog.2017.01.003

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Reference TypeJournal (article/letter/editorial)
TitleA general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition
JournalPattern Recognition
AuthorsMa, GuangkaiAuthor
Wu, LigangAuthor
Wang, YanAuthor
Year2017 (June)Volume66
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.01.003Search in ResearchGate
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Mindat Ref. ID9366911Long-form Identifiermindat:1:5:9366911:9
GUID0
Full ReferenceMa, Guangkai, Wu, Ligang, Wang, Yan (2017) A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition. Pattern Recognition, 66. 280-294 doi:10.1016/j.patcog.2017.01.003
Plain TextMa, Guangkai, Wu, Ligang, Wang, Yan (2017) A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition. Pattern Recognition, 66. 280-294 doi:10.1016/j.patcog.2017.01.003
In(2017) Pattern Recognition Vol. 66. Elsevier BV

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