Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Vladimir Khryashchev"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 256-261 (2020)
Deep learning and modern type of neural network technologies are increasingly used for the detection, segmentation and classification of different objects in aerial multichannel images. The goal of given research was to develop a deep learning algori
Externí odkaz:
https://doaj.org/article/0ab92e177b1c4c58b7e9aa8962210845
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 854, Iss 24, Pp 116-122 (2019)
This article presents research results of two convolutional neural networks for building detection on satellite images of Planet database. To analyze the quality of developed algorithms, there was used Sorensen-Dice coefficient of similarity which co
Externí odkaz:
https://doaj.org/article/d2601588d74645bb9882bf282bb7a8bb
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 602, Iss 23, Pp 172-179 (2018)
Convolutional neural networks for detection geo- objects on the satellite images from DSTL, Landsat-8 and PlanetScope databases were analyzed. Three modification of convolutional neural network architecture for implementing the recognition algorithm
Externí odkaz:
https://doaj.org/article/49717690659a46169effbc20d9338bab
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 426, Iss 22, Pp 12-18 (2018)
Digital images frequently contain the objects which are not true for the depicted scene that can completely change the human perception of provided information. This article proposes an approach to search of the digital image forensics caused by dist
Externí odkaz:
https://doaj.org/article/b9059133628a45818190c989d08a0148
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 426, Iss 22, Pp 344-347 (2018)
Information extracted from aerial photographs has found applications in different areas including urban planning, crop and forest management, disaster relief, and climate modeling. In many cases information extraction is still performed by human expe
Externí odkaz:
https://doaj.org/article/7d70f7731fa34ac28c5cd8c52e2413f1
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 141-147 (2017)
This paper presents algorithms for smile detection and facial expression recognition. The developed algorithms are based on the implementation of a relatively new approach in the field of deep machine learning - a convolutional neural network. The ai
Externí odkaz:
https://doaj.org/article/4b1b44ff0c25424295133bfa097ac8cc
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 254-259 (2017)
The implementation and analysis of the algorithm for the full-focused image fusion in the presence of noise are presented. Three methods of combining noisy images are considered: without pre-processing and post-processing, using prefiltration of orig
Externí odkaz:
https://doaj.org/article/ed15817ec52d4bfa8ebe3fa5ac9df123
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 671-675 (2017)
The survey data suggest a high technical and sufficient psychological readiness of Yaroslavl State University students to use mobile devices in learning. Nevertheless, it is obvious that there is a need in popularizing mobile learning among students
Externí odkaz:
https://doaj.org/article/cc7facfab6c944d4b21ac225a9c0098a
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 420, Iss 19, Pp 80-87 (2016)
Face quality assessment algorithms play an important role in improving face recognition accuracy and increasing computational efficiency of biometric systems. In the case of video analysis system, it is very common to acquire multiple face images of
Externí odkaz:
https://doaj.org/article/ed8ff4010af84e599796ad80c4407fa5
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 420, Iss 19, Pp 321-325 (2016)
Gender recognition using face images is one of interesting for practical applications face analysis tasks.Most of the existing studies have focused on face images acquired under controlled conditions, such as famous FERET database. However, real appl
Externí odkaz:
https://doaj.org/article/2cd7e1274707439fa4582967e365e7c7