Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/26055| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Petar Sekuloski | en_US |
| dc.contributor.author | Dimitrievska Ristovska, Vesna | en_US |
| dc.date.accessioned | 2023-03-09T08:07:15Z | - |
| dc.date.available | 2023-03-09T08:07:15Z | - |
| dc.date.issued | 2022-12 | - |
| dc.identifier.citation | https://stumejournals.com/journals/mm/2022/4/106 | en_US |
| dc.identifier.issn | 2535-0986 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/26055 | - |
| dc.description.abstract | Topological Data Analysis (TDA) is relatively new filed of Applied Mathematics that emerged rapidly last years. The main tool of Topological Data Analysis is Persistent Homology. Persistent Homology provides some topological characteristics of the datasets. In this paper we will discuss classification of digital images using their topological signatures computed with Persistent Homology. We will experiment on the Fashion-MNIST dataset. Using Topological Data Analysis, the classification was improved. | en_US |
| dc.description.sponsorship | Faculty of Computer Science and Engineering, “Ss. Cyril and Methodius” University, Skopje, Macedonia | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Scientific Technical Union of Mechanical Engineering" Industry 4.0" | en_US |
| dc.relation.ispartof | International Scientific Journal "Mathematical Modeling" | en_US |
| dc.relation.ispartofseries | Volume 6;Iss. 4 | - |
| dc.subject | TOPOLOGICAL DATA ANALYSIS, PERSISTENT HOMOLOGY, MACHINE LEARNING, COMPUTATIONAL TOPOLOGY | en_US |
| dc.title | Classification of Digital Images using topological signatures – A Case Study | en_US |
| dc.type | Journal Article | en_US |
| dc.relation.conference | International Scientific Conference "Mathematical Modeling", Borovets 2022 | en_US |
| dc.identifier.eissn | 2603-2929 | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | open | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| mm-2022-4-106 Classification of Digital Images using topological signatures – A Case Study.pdf | 1.23 MB | Adobe PDF | View/Open |
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