Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alienin, Oleg"'
The assessment of energy expenditure in real life is of great importance for monitoring the current physical state of people, especially in work, sport, elderly care, health care, and everyday life even. This work reports about application of some ma
Externí odkaz:
http://arxiv.org/abs/1912.09848
Autor:
Kochura, Yuriy, Gordienko, Yuri, Taran, Vlad, Gordienko, Nikita, Rokovyi, Alexandr, Alienin, Oleg, Stirenko, Sergii
Publikováno v:
Hu Z., Petoukhov S., Dychka I., He M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938 (pp. 658-668). Springer, Cham
The impact of the maximally possible batch size (for the better runtime) on performance of graphic processing units (GPU) and tensor processing units (TPU) during training and inference phases is investigated. The numerous runs of the selected deep n
Externí odkaz:
http://arxiv.org/abs/1812.11731
Publikováno v:
Hu Z., Petoukhov S., Dychka I., He M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938 (pp.183-193). Springer, Cham
Preparation of high-quality datasets for the urban scene understanding is a labor-intensive task, especially, for datasets designed for the autonomous driving applications. The application of the coarse ground truth (GT) annotations of these datasets
Externí odkaz:
http://arxiv.org/abs/1901.00001
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Autor:
Gordienko, Nikita, Gang, Peng, Gordienko, Yuri, Zeng, Wei, Alienin, Oleg, Rokovyi, Oleksandr, Stirenko, Sergii
Publikováno v:
In: Cheng L., Leung A., Ozawa S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol. 11305, pp. 414-424. Springer, Cham
Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukraine). A new image dataset of these carved Glagolitic and Cyrillic letter
Externí odkaz:
http://arxiv.org/abs/1808.10862
Autor:
Stirenko, Sergii, Peng, Gang, Zeng, Wei, Gordienko, Yuri, Alienin, Oleg, Rokovyi, Oleksandr, Gordienko, Nikita
Publikováno v:
In: Vaidya J., Li J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science, vol 11334, 483-497. Springer, Cham
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analysis of accumulated and moving window data subsets with construction of
Externí odkaz:
http://arxiv.org/abs/1808.04760
Autor:
Taran, Vlad, Gordienko, Nikita, Kochura, Yuriy, Gordienko, Yuri, Rokovyi, Alexandr, Alienin, Oleg, Stirenko, Sergii
Publikováno v:
Proceedings of the 19th International Conference on Computer Systems and Technologies (CompSysTech'18), Boris Rachev and Angel Smrikarov (Eds.). ACM, New York, NY, USA, 73-80 (2018)
Semantic image segmentation is one the most demanding task, especially for analysis of traffic conditions for self-driving cars. Here the results of application of several deep learning architectures (PSPNet and ICNet) for semantic image segmentation
Externí odkaz:
http://arxiv.org/abs/1806.01896
Autor:
Stirenko, Sergii, Kochura, Yuriy, Alienin, Oleg, Rokovyi, Oleksandr, Gang, Peng, Zeng, Wei, Gordienko, Yuri
Publikováno v:
2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, 2018, pp. 422-428
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of deep learning are presented. They demonstrate the efficiency of lun
Externí odkaz:
http://arxiv.org/abs/1803.01199
Autor:
Gordienko, Yuri, Stirenko, Sergii, Kochura, Yuriy, Alienin, Oleg, Novotarskiy, Michail, Gordienko, Nikita
The new method is proposed to monitor the level of current physical load and accumulated fatigue by several objective and subjective characteristics. It was applied to the dataset targeted to estimate the physical load and fatigue by several statisti
Externí odkaz:
http://arxiv.org/abs/1801.06048
Publikováno v:
Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689, pp 243-256. Springer, Cham
The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared. Their comparative analysis was performed and conclusions were made as to the
Externí odkaz:
http://arxiv.org/abs/1708.08670
Recently, due to rapid development of information and communication technologies, the data are created and consumed in the avalanche way. Distributed computing create preconditions for analyzing and processing such Big Data by distributing the comput
Externí odkaz:
http://arxiv.org/abs/1707.04939