Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Tuba, Eva | |
dc.contributor.author | Tuba, Milan | |
dc.contributor.author | Simian, Dana | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-05-21T05:23:39Z | - |
dc.date.available | 2018-05-21T05:23:39Z | - |
dc.date.issued | 2016 | |
dc.identifier.citation | WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 369-376. | en |
dc.identifier.isbn | 978-80-86943-58-9 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.uri | wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29725 | |
dc.description.abstract | Handwritten digit recognition is an important but very hard practical problem. This is a classification problem for which support vector machines are very successfully used. Determining optimal support vector machine is another hard optimization problem that involves tuning of the soft margin and kernel function parameters. For this optimization we adjusted recent swarm intelligence bat algorithm. We intentionally used weak set of features, four histogram projections, to prove that even under unfavorable conditions our algorithm would achieve acceptable results. We tested our approach on standard MNIST benchmark datasets and compared the results with other recent approaches from literature where our proposed algorithm achieved better results i.e. higher correct classification percentage. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.relation.ispartofseries | WSCG '2016: short communications proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | digitální rozpoznávání ručního písma | cs |
dc.subject | inteligence rojů | cs |
dc.subject | bat algoritmus | cs |
dc.subject | podpůrný vektorový stroj | cs |
dc.subject | ladění parametrů | cs |
dc.title | Handwritten digit recognition by support vector machine optimized by Bat algorithm | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | handwritten digit recognition | en |
dc.subject.translated | swarm intelligence | en |
dc.subject.translated | bat algorithm | en |
dc.subject.translated | support vector machine | en |
dc.subject.translated | parameter tuning | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG '2016: Short Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Tuba.pdf | Plný text | 376,36 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/29725
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