Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saeid Agahian"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 23, Iss 1, Pp 196-203 (2020)
In the past two decades, human action recognition has been among the most challenging tasks in the field of computer vision. Recently, extracting accurate and cost-efficient skeleton information became available thanks to the cutting edge deep learni
Externí odkaz:
https://doaj.org/article/721c596a4c614d04a9e1959784e18a60
Publikováno v:
Neural Computing and Applications. 34:17407-17421
Publikováno v:
Acta Geophysica.
Autor:
Taymaz Akan, Saeid Agahian
Publikováno v:
Evolving Systems. 13:563-575
Artificial neural network (ANN) is one of the most successful tools in machine learning. The success of ANN mostly depends on its architecture and learning procedure. Multi-layer perceptron (MLP) is a popular form of ANN. Moreover, backpropagation is
Vision-assisted recognition of stereotype behaviors for early diagnosis of Autism Spectrum Disorders
Publikováno v:
Neurocomputing. 446:145-155
Medical diagnosis supported by computer-assisted technologies is getting more popularity and acceptance among medical society. In this paper, we propose a non-intrusive vision-assisted method based on human action recognition to facilitate the diagno
Publikováno v:
Expert Systems with Applications. 195:116599
Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain the optimal solution. Many
Publikováno v:
The Visual Computer
The Visual Computer, Springer Verlag, 2018, ⟨10.1007/s00371-018-1489-7⟩
The Visual Computer, 2018, ⟨10.1007/s00371-018-1489-7⟩
The Visual Computer, Springer Verlag, 2018, ⟨10.1007/s00371-018-1489-7⟩
The Visual Computer, 2018, ⟨10.1007/s00371-018-1489-7⟩
International audience; Over the last few decades, human action recognition has become one of the most challenging tasks in the field of computer vision. Employing economical depth sensors such as Microsoft Kinect as well as recent successes of deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97784e398d442c68d487c0ce02f039c9
https://hal.inria.fr/hal-01849283/file/final.pdf
https://hal.inria.fr/hal-01849283/file/final.pdf