Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Emna Fendri"'
Autor:
Emna Fendri, Mounir Triki
Publikováno v:
Russian Journal of Linguistics, Vol 26, Iss 1, Pp 51-73 (2022)
Writing at a postgraduate level is not only meant to obtain a degree in a specific field but also, and more importantly, to secure that ones research is published nationally as well as internationally. In other words, conducting research is first and
Externí odkaz:
https://doaj.org/article/6af191f31b0a4614926e1b8f6e870218
Publikováno v:
Multimedia Systems. 29:421-433
Publikováno v:
International Journal of Software Innovation. 10:1-15
In this paper, we introduce a new method for face recognition in multi-resolution images. The proposed method is composed of two phases: an off-line phase and an inference phase. In the off-line phase, we built the Kernel Partial Least Squares (KPLS)
Publikováno v:
Multimedia Tools and Applications. 80:28001-28014
The face aging process is subject to multiple influences. This may probably involve several inherited and various environmental and biological factors like the differences observed between males and females. In fact, male and female facial skin diffe
Publikováno v:
KES
Person re-identification presents an active research area for intelligent video surveillance systems. The purpose is to find the same person from disjoint camera views at different times and locations. In this paper, we propose a novel Bi-Model Perso
Publikováno v:
Signal, Image and Video Processing. 14:1345-1353
In this paper, we introduce a deep learning (CNN) based method for face detection in an uncontrolled environment. The proposed method consists in developing a CNN architecture dedicated to the face detection tasks by combining both of global and loca
Publikováno v:
Pattern Recognition Letters. 129:205-212
The moving object detection always remains an active field of research given the variety of challenges related to this topic. In fact, most of the challenges related to the low illumination and weather conditions (fog, snow, rain, etc.) remain unreso
Publikováno v:
Fourteenth International Conference on Machine Vision (ICMV 2021).
Publikováno v:
Fourteenth International Conference on Machine Vision (ICMV 2021).