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of 3
pro vyhledávání: '"Teekens, Lisanne E.A."'
Autor:
Lorbach, M.T., Poppe, R.W., van Dam, Elsbeth, Veltkamp, R.C., Noldus, Lucas, Spink, Andrew, Riedel, Gemot, Zhou, Liting, Teekens, Lisanne E.A., Albatal, Rami, Gurrin, Cathal
Many behavior recognition systems are trained and tested on single datasets limiting their application to comparable datasets. While retraining the system with a novel dataset is possible, it involves laborious annotation effort. We propose to minimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::fc5056f2aa89c0cbb0eb44271711a281
https://dspace.library.uu.nl/handle/1874/346300
https://dspace.library.uu.nl/handle/1874/346300
Autor:
Lorbach, M.T., Poppe, R.W., van Dam, Elsbeth, Veltkamp, R.C., Noldus, Lucas, Spink, Andrew, Riedel, Gemot, Zhou, Liting, Teekens, Lisanne E.A., Albatal, Rami, Gurrin, Cathal, Sub Multimedia, Multimedia
Publikováno v:
Proceedings of Measuring Behavior 2016, 461
STARTPAGE=461;TITLE=Proceedings of Measuring Behavior 2016
STARTPAGE=461;TITLE=Proceedings of Measuring Behavior 2016
Many behavior recognition systems are trained and tested on single datasets limiting their application to comparable datasets. While retraining the system with a novel dataset is possible, it involves laborious annotation effort. We propose to minimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::87d0a7685193a959cb05f84022741028
https://dspace.library.uu.nl/handle/1874/346300
https://dspace.library.uu.nl/handle/1874/346300