Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kirill Smelyakov"'
Publikováno v:
Grail of Science. :215-229
Our algorithm combines the Reverse Polish Notation (RPN) and expression tree algorithms it is a novel method for efficiently evaluating arithmetic expressions. The algorithm combines the benefits of Reverse Polish Notation (RPN) and Expression Trees
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c1288213d86e95cec9ad3f0ddf5117a
https://doi.org/10.36074/grail-of-science.14.04.2023.039
https://doi.org/10.36074/grail-of-science.14.04.2023.039
Publikováno v:
2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbd7f9f9171a1ed4da0a569399a7b2a3
https://doi.org/10.1109/picst54195.2021.9772145
https://doi.org/10.1109/picst54195.2021.9772145
Publikováno v:
2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream).
The paper is devoted to estimation of the effectiveness of the use of modern convolutional neural networks for face detection and face recognition. On standard and custom datasets, learning of neural networks and comparison of the effectiveness of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8eb3ebed5d74c98b83ee4db0c7452f1
https://doi.org/10.1109/estream53087.2021.9431476
https://doi.org/10.1109/estream53087.2021.9431476
Publikováno v:
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).
The paper is devoted to estimation of the effectiveness of the use of modern convolutional neural networks for face detection. On standard open datasets, learning of neural networks and comparison of the effectiveness of their functioning are carried
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::867b7ccac1235b15a02c1b6157e727b8
https://doi.org/10.1109/dsmp47368.2020.9204049
https://doi.org/10.1109/dsmp47368.2020.9204049
Autor:
Denys Sandrkin, Mykyta Hvozdiev, Kirill Smelyakov, Igor Ruban, Olena Voloshchuk, Anastasiya Chupryna
Publikováno v:
Data-Centric Business and Applications ISBN: 9783030430696
The efficiency of object recognition algorithms, computer vision systems and image analysis directly depend on the quality of image preprocessing. Gradation correction is one of the stages of this preprocessing. The paper discusses three the most com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e465ae7929ece37196e665864034c08
https://doi.org/10.1007/978-3-030-43070-2_14
https://doi.org/10.1007/978-3-030-43070-2_14
Publikováno v:
2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream).
The paper discusses promising ways to build an invariant model and an efficient image search algorithm in Big Image Warehouse. Based on open data using the appropriate Python prototype, Search by Image Engine, a series of experiments is conducted to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91733c75ef43ed2b1214c5d38ef5f5e0
https://doi.org/10.1109/estream50540.2020.9108782
https://doi.org/10.1109/estream50540.2020.9108782
Publikováno v:
2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream).
Nowadays, modern big data warehouses require the development of effective management algorithms. For large image storages first of all it's important to develop effective algorithms for comparing and searching a similar image from an image, taking in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f8986011ed5ce1ff9412e8c5b356c4
https://doi.org/10.1109/estream50540.2020.9108884
https://doi.org/10.1109/estream50540.2020.9108884
Publikováno v:
Advances in Spatio-Temporal Segmentation of Visual Data ISBN: 9783030354794
The effective development of machine vision systems currently requires the development of adaptive models and image processing algorithms, starting with solving preprocessing tasks and ending with the tasks of recognizing objects in images. The basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60f78d6a002a75c258eca452b262c4c4
https://doi.org/10.1007/978-3-030-35480-0_1
https://doi.org/10.1007/978-3-030-35480-0_1
Publikováno v:
2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T).
The article describes the most popular algorithms for reducing the scale of a digital image, experimenting with applying these algorithms to an image with linear (objects without entrails) and small-sized objects for the most used scale reduction coe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e1504d3a390412a0b0050cbfc1ce3e0
https://doi.org/10.1109/picst47496.2019.9061250
https://doi.org/10.1109/picst47496.2019.9061250
Autor:
Dariia Tovchyrechko, Anastasiya Chupryna, Igor Ruban, Oleksandr Ponomarenko, Kirill Smelyakov
Publikováno v:
2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T).
The article puts an experiment on application of widely used ORB, SIFT and SURF feature point detectors represented by the corresponding functions in the OpenCV library, to the images of the most common object classes such as human faces, fine detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b246cde3f24d963940a4ca17f78e335
https://doi.org/10.1109/picst47496.2019.9061331
https://doi.org/10.1109/picst47496.2019.9061331