Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Olatide A. Amole"'
Autor:
Oluwole A. Adegbola, David O. Aborisade, Segun I. Popoola, Olatide A. Amole, Aderemi A. Atayero
Publikováno v:
Cogent Engineering, Vol 5, Iss 1 (2018)
Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images. In this paper, Relevance Feedback (RF) mechanism was
Externí odkaz:
https://doaj.org/article/d1d9711a06a84fc48abda51b957c4b2b
Publikováno v:
2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS).
Electrical energy enriches today’s world and so the forecast of its consumption aids energy industries, governments, as well as investors in making informed decisions at any point in time. It is on this background that this paper engaged regression
Autor:
Olatide A. Amole, Aderemi A. Atayero, Oluwole A. Adegbola, David O. Aborisade, Segun I. Popoola
Publikováno v:
Cogent Engineering, Vol 5, Iss 1 (2018)
Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images. In this paper, Relevance Feedback (RF) mechanism was
Modified one-class support vector machine for content-based image retrieval with relevance feedback.
Autor:
Adegbola, Oluwole A.1 oaadegbola@lautech.edu.ng, segun.popoola@covenantuniversity.edu.ng, Aborisade, David O.1, Popoola, Segun I.2, Amole, Olatide A.3, Atayero, Aderemi A.2
Publikováno v:
Cogent Engineering. Jan2018, Vol. 5 Issue 1, p1-1. 1p.