Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Dmitry P. Nikolaev"'
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4664 (2024)
Gaussian filtering, being a convolution with a Gaussian kernel, is a widespread technique in image analysis and computer vision applications. It is the traditional approach for noise reduction. In some cases, performing the exact convolution can be c
Externí odkaz:
https://doaj.org/article/f8cb14c25a6148baacb6e1ccbfc34ff4
Autor:
Ekaterina O. Rybakova, Anton V. Trusov, Elena E. Limonova, Natalya S. Skoryukina, Konstantin B. Bulatov, Dmitry P. Nikolaev
Publikováno v:
IEEE Access, Vol 11, Pp 82151-82166 (2023)
This paper focuses on the computational optimization of RANSAC. We describe the Parallel Efficient Sample Consensus (PESAC) framework that allows efficient utilization of SIMD extensions and provides memory locality due to a special way of storing th
Externí odkaz:
https://doaj.org/article/7fb6ba744f38469fbba08b3eb4da4e0f
Publikováno v:
IEEE Access, Vol 9, Pp 97569-97581 (2021)
The priority of building hardware-oriented neural network models is growing steadily. The target goals for their development are the performance and energy efficiency of promising hardware-software solutions. Simultaneously, for different classes of
Externí odkaz:
https://doaj.org/article/42d20b175dbb4d85b892d716f9e71534
Publikováno v:
IEEE Access, Vol 9, Pp 133023-133042 (2021)
The construction of perceptually uniform color space is an important task of color theory. Many image processing applications requires the color difference to replicate human perception. The perceptual difference is poorly approximated by Euclidean d
Externí odkaz:
https://doaj.org/article/63697c2d831244cdbcb86f004cc1e7ba
Publikováno v:
IEEE Access, Vol 9, Pp 168162-168184 (2021)
Convolution is the most time-consuming operation in modern deep artificial neural networks, so its performance is crucial for fast inference. One of the standard approaches to fast convolution computation is to use GeMM-based convolution algorithms r
Externí odkaz:
https://doaj.org/article/426a0c98df4048fdbae0d97a44f707c2
Autor:
Dmitry V. Polevoy, Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 181 (2022)
Various government and commercial services, including, but not limited to, e-government, fintech, banking, and sharing economy services, widely use smartphones to simplify service access and user authorization. Many organizations involved in these ar
Externí odkaz:
https://doaj.org/article/98e18757077c488d806e77cebb8d50a9
Autor:
Julia Shemiakina, Elena Limonova, Natalya Skoryukina, Vladimir V. Arlazarov, Dmitry P. Nikolaev
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2155 (2021)
In this paper, we consider the problem of identity document recognition in images captured with a mobile device camera. A high level of projective distortion leads to poor quality of the restored text images and, hence, to unreliable recognition resu
Externí odkaz:
https://doaj.org/article/be1ca69a9012440993e996bb44a1c676
Autor:
Nadezhda V. Orlova, Dmitry V. Nikolaev
Publikováno v:
Russian Journal of Economics, Vol 8, Iss 1, Pp 29-48 (2022)
For the last 10–15 years, Russia has become the key player in the world agricultural market. Increasing export volume up to $45 billion by 2025 is the ambitious plan of the Russian Government. Windows of opportunity that create fundamentally new pr
Externí odkaz:
https://doaj.org/article/53977f13d44340bd87b75aead02c0af3
Autor:
Lena I. Arzhakova, Darima K. Garmaeva, Irina V. Kononova, Dmitry B. Nikitjuk, Dmitry V. Nikolaev, Ilona A. Markova, Maida U. Uarova, Tatyana G. Degtyareva, Tcyben K. Garmaev
Publikováno v:
International Journal of Biomedicine, Vol 9, Iss 3, Pp 228-232 (2019)
The aim of this study was to assess the anthropometric and physiometric indicators with an analysis of the body composition of young Yakuts of early and late puberty, living in the Republic of Sakha (Yakutia) (RS(Y)). Materials and Methods: A total
Externí odkaz:
https://doaj.org/article/39e1835e1362487495aba75b9fe4a1a7
Autor:
Konstantin B. Bulatov, Anastasia S. Ingacheva, Marat I. Gilmanov, Marina V. Chukalina, Dmitry P. Nikolaev, Vladimir V. Arlazarov
Publikováno v:
Expert Systems with Applications. 229:120425