Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Festus Osayamwen"'
Autor:
Festus Osayamwen, Jules-Raymond Tapamo
Publikováno v:
IEEE Access, Vol 7, Pp 14747-14756 (2019)
Convolutional neural network (CNN) depicts the transformation of the input image through a series of convolutions and other non-linear phases for recognition and classification purposes. This method has gained popularity for its significant contribut
Externí odkaz:
https://doaj.org/article/1d2773fc34a84ec8bb34899c2bc48283
Autor:
Festus Osayamwen, Jules R. Tapamo
Publikováno v:
ICIT
A subspace regularization approach is proposed for eigenfeatures extraction and regularization in human activity recognition. In this approach the within-class subspace is modelled using more eigenvalues from the reliable subspace to obtain a four pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e3a15f8b1f67486bc58dea9536ae42
https://doi.org/10.1109/icit.2016.7474854
https://doi.org/10.1109/icit.2016.7474854
Autor:
Festus Osayamwen, Jules-Raymond Tapamo
Publikováno v:
International Journal of Computational Vision and Robotics. 8:435
A within-class subspace regularisation approach is proposed for eigenfeatures extraction and regularisation in human activity recognition. In this approach, the within-class subspace is modelled using more eigenvalues from the reliable subspace to ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c3c2fb6e9af50cfdb9dd2dcb84e69d
https://doi.org/10.1504/ijcvr.2018.10015142
https://doi.org/10.1504/ijcvr.2018.10015142