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http://hdl.handle.net/20.500.12188/26053| Title: | A novel model for image classification based on Persistent Homology | Authors: | Petar Sekuloski Dimitrievska Ristovska, Vesna Vassil Grozdanov |
Keywords: | Topological Data Analysis, Persistent Homology, Machine Learning, Computational Topology, Image Classification | Issue Date: | Dec-2022 | Publisher: | International Journal of Science and Research (IJSR) | Source: | https://www.ijsr.net/get_abstract.php?paper_id=SR221209034533 | Journal: | International Journal of Science and Research (IJSR) | Series/Report no.: | Volume 11;Iss.12 | Abstract: | Topological Data Analysis (TDA) is relatively new field of Applied Mathematics that emerged rapidly last years. The main tool of Topological Data Analysis is Persistent Homology. Persistent Homology tracks the topological features of datasets. In this paper we will introduce a novel model for image classification based on Persistent Homology. In the experimental part we the introduced new novel on real medical dataset. Using this model, the classification was improved. | URI: | http://hdl.handle.net/20.500.12188/26053 | ISSN: | 2319-7064 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJSR PS VDR 2022 SR221209034533.pdf | 472.82 kB | Adobe PDF | View/Open |
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