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https://elib.bsu.by/handle/123456789/233366| Title: | Statistical approach to image compression based on a restricted Boltzmann machine |
| Authors: | Krasnoproshin, V. V. Matskevich, V. V. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2019 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 207-213. |
| Abstract: | The article deals with the problem of color image compression. A statistical approach based on a restricted Boltzmann machine is investigated. An original algorithm for learning the neural network is proposed. The algorithm implements the annealing method. The effectiveness of training is based on the use of data parallelization technology |
| URI: | http://elib.bsu.by/handle/123456789/233366 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 207-213.pdf | 321,95 kB | Adobe PDF | View/Open |
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