Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sabera Hoque"'
Publikováno v:
IEEE Access, Vol 9, Pp 143746-143770 (2021)
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of freedom) pose assumptions are widely discussed and studied in the field. In the 3D object detection process, classifications are centered on the object’s size, positio
Externí odkaz:
https://doaj.org/article/01564107c1114e26868166e79ec03142
Publikováno v:
Neurocomputing. 488:694-705
Image recognition based on deep learning methods has gained remarkable achievements by feeding with abundant training data. Unfortunately, collecting a tremendous amount of annotated images is time-consuming and expensive, especially in grocery produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c251bd2a3512a0e7ad0f8782d2cbda65
https://doi.org/10.1016/j.neucom.2021.11.080
https://doi.org/10.1016/j.neucom.2021.11.080
Publikováno v:
Expert Systems with Applications. 223:119838
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01112a2f3aee6e9977d945682305184c
https://doi.org/10.1016/j.eswa.2023.119838
https://doi.org/10.1016/j.eswa.2023.119838
Publikováno v:
IEEE Access, Vol 9, Pp 143746-143770 (2021)
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of freedom) pose assumptions are widely discussed and studied in the field. In the 3D object detection process, classifications are centered on the object’s size, positio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd7c4e45b5923d8c4f8b2b4babfcf88
https://ieeexplore.ieee.org/document/9543652/
https://ieeexplore.ieee.org/document/9543652/
Publikováno v:
SKIMA
Multi-class imbalanced data classification in supervised learning is one of the most challenging research issues in machine learning for data mining applications. Although several data sampling methods have been introduced by computational intelligen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852b113fdfb3bc3f08b8fb00a3a97021
https://doi.org/10.1109/skima47702.2019.8982391
https://doi.org/10.1109/skima47702.2019.8982391
Publikováno v:
SKIMA
Multi-class imbalanced classification has emerged as a very challenging research area in machine learning for data mining applications. It occurs when the number of training instances representing majority class instances is much higher than that of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92ad8589b1258cafbd9bf3db23afb7c7
https://doi.org/10.1109/skima.2017.8294105
https://doi.org/10.1109/skima.2017.8294105