https://m2.mtmt.hu/ hun 2026-10-23 06:00 BookChapter 36090484 ADMIN_APPROVED true The research has been supported by the EKOP-24-4-II University Research Scholarship Program of the National Research, Development and Innovation Fund of the Ministry of Culture and Innovation. 0 false 2025-08-22T09:46:41.023+0000 2025-08-22T09:45:16.862+0000 2025-04-14T10:38:50.114+0000 true 10090773 Nagy Ildikó /api/admin/10090773 Admin true 2025-08-22T09:45:13.958+0000 2025-08-22T09:45:13.958+0000 2025-08-22T09:45:17.016+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin true true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Papp, Dávid Solution of High-level Classification Task by Low-level Classifier in Vehicle Recognition Problem 000147 000151 000147 5 2025 The study deals with machine learning and computer vision, emphasizing the importance of understanding both low-level and high-level information of classifiers. The paper presents a special multi-output classification, where there are only two independent labels, the color and the type of vehicles in images. For the solution of the multi-output classification task, a new approach was examined, a multi-class classifier with single output. The original multi-output classification is considered as high-level task, while the single output classifier with all combination of color and type classes is a low-level classifier, because its output (a single label) is more detailed. The novelty of the work is the comparison of both approaches, the original high-level classifiers with low-level classifier. The contribution of the paper is the different transformation methods (e.g. stacking-based) from low-level classifier to original high-level classification task. Our results show that low-level classifiers can be a viable alternative, in particular the stacking-based method can enhance the classification accuracy. ©2025 IEEE. true NATIONAL 2025 true true true true true false NONE 2025-08-22 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 false false false false 2025-07-13T10:39:04.629+0000 Távközlési és Mesterséges Intelligencia Tanszék (BME / VIK) 2 7 1 2 0 true 547 true 10002 English /api/language/10002 Angol Language true 2 false true 10939 true 10017 /api/country/10017 Country true 13 /api/city/10939 City true 2054246 true 28266592 /api/publicationidentifier/28266592 https://www.worldcat.org/search?q=isbn%3A9798350379365 9798350379365 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false /api/publication/35705765 true true 23 23 /api/publicationtype/23 PublicationType 3 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65352636 /api/reference/65352636 1 10.1016/j.eswa.2018.05.017 false true Reference 65352637 /api/reference/65352637 2 10.1109/ACCESS.2019.2963486 false true Reference 65352638 /api/reference/65352638 3 10.1007/978-3-540-74282-1_127 false true Reference 65352639 /api/reference/65352639 4 10.1007/978-3-031-12097-8_30 false true Reference 65352640 /api/reference/65352640 5 10.1007/s10994-018-5739-8 false true Reference 65352641 /api/reference/65352641 6 10.1016/j.neucom.2018.02.111 false true Reference 65352642 /api/reference/65352642 7 10.1109/cvpr.2016.90 false true Reference 65352643 /api/reference/65352643 8 false true Reference 65352644 /api/reference/65352644 9 false true Reference 65352645 /api/reference/65352645 10 10.1016/j.patcog.2015.01.004 false true Reference 65352646 /api/reference/65352646 11 10.1007/s12065-018-0167-z false true Reference 65352647 /api/reference/65352647 12 10.1007/s00371-022-02540-z false true Reference 65352648 /api/reference/65352648 13 10.1007/s11042-023-17397-0 false true Reference 65352649 /api/reference/65352649 14 10.1016/j.engappai.2023.107497 false true Reference 65352650 /api/reference/65352650 15 10.1007/s11554-017-0712-5 false true Reference 65352651 /api/reference/65352651 16 10.1109/TNNLS.2019.2945133 false true Reference 65352652 /api/reference/65352652 17 10.1109/TNNLS.2020.2966644 false true Reference 65352653 /api/reference/65352653 18 10.1007/978-3-030-58539-6_46 false true Reference 65352654 /api/reference/65352654 19 10.1109/TKDE.2021.3070203 false true /api/publication/36090484 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10053860"><a href="/gui2/?type=authors&mode=browse&sel=10053860" target="_blank">Papp Dávid (<span class="authorship-author-name">Papp Dávid</span> <span class="authorAux-mtmt"> médiainformatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Távközlési és Mesterséges Intelligencia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10000597"><a href="/gui2/?type=authors&mode=browse&sel=10000597" target="_blank">Szucs Gábor (<span class="authorship-author-name">Szűcs Gábor</span> <span class="authorAux-mtmt"> mesterséges intelligencia, adattudomány</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Távközlési és Mesterséges Intelligencia Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36090484" target="_blank">Solution of High-level Classification Task by Low-level Classifier in Vehicle Recognition Problem</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" mtid="10039071"><a href="/gui2/?type=authors&mode=browse&sel=10039071" target="_blank">Szakál Anikó (<span class="authorship-author-name">Szakál Anikó</span> <span class="authorAux-mtmt"> műszaki informatika</span>) </a> </span> <span class="author-affil">Óbudai Egyetem</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;35705765" target="_blank">IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025 </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Stará Lesna, Szlovákia <span class="conference-date">2025.01.23. - 2025.01.25.</span> </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> pp 000147-000151 </span> <span class="year">(2025)</span> ( <span class="seriesTitle">Proceedings - International Symposium on Applied Machine Intelligence and Informatics, SAMI</span> <span class="issn">2836-0834</span> <span class="issn">2767-9438</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI63904.2025.10883202" target="_blank" href="https://doi.org/10.1109/SAMI63904.2025.10883202"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="105013051781" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105013051781"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/10883202/" target="_blank" href="https://ieeexplore.ieee.org/document/10883202/"> Egyéb URL </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350379365" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350379365"> 9798350379365 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36090484&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 2 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36090484</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 35705765</span> Forrás Idéző | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2025.08.22. 11:45 Andódy Katalin (BME admin4) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: The research has been supported by the EKOP-24-4-II University Research Scholarship Program of the National Research, Development and Innovation Fund of the Ministry of Culture and Innovation.</pre> </div> </div>