https://m2.mtmt.hu/ hun 2026-04-14 21:34 BookChapter 34602058 APPROVED true 0 false 2025-03-11T18:18:54.592+0000 2024-04-22T09:45:54.055+0000 2024-02-16T19:23:15.636+0000 true 10000597 Szűcs Gábor /api/author/10000597 Author Szűcs Gábor (mesterséges intelligencia, adattudomány) true 10000597 2024-03-18T09:36:25.129+0000 2024-03-18T09:36:25.129+0000 true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Mao, Ruixuan 397 402 397 6 2024 Hyperspectral imaging poses major challenges for supervised classification methods due to the high dimensionality of the data. This classification was solved in previous works with known classes. In this paper we present a different aim where the goal is to discover and distinguish novel categories for hyperspectral images in scenarios where some classes are unknown. This belongs to Generalized Category Discovery (GCD) problem with a further task for automatic clustering of unlabeled data with partial knowledge. Our contribution is an additional supervised learning stage on combined labels coming from two sources. Our approach consists of three stages, (i) dimension reduction, (ii) clusters assignment with the Hungarian method, and (iii) classification, where a special training set is constructed from ground true labels and the filtered test set with (dummy) labels that are the predicted categories from the clustering part. The proposed method (S-GCD) was evaluated on two datasets, and our experiments demonstrate that classification on combined labels greatly improves both classification and clustering scores. © 2024 IEEE. true 2024 true true true true true false NONE 2025-03-11 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 false false false false 2024-05-16T18:26:18.242+0000 Távközlési és Médiainformatikai Tanszék (BME / VIK) 2 7 1 3 0 true 539 true 10002 English /api/language/10002 Angol Language Angol true 2 false true 10939 true 10017 /api/country/10017 Country Amerikai Egyesült Államok true 13 /api/city/10939 City Piscataway (NJ), Amerikai Egyesült Államok true 2054246 true 28712336 IDENTICAL /api/publicationidentifier/28712336 https://doi.org/10.1109/SAMI60510.2024 10.1109/SAMI60510.2024 PublicationIdentifier DOI: 10.1109/SAMI60510.2024 true 6 DOI https://doi.org/@@@ /api/publicationsource/6 DOI PlainSource DOI true true 10001 /api/publicationsourcetype/10001 PublicationSourceType DOI true true 6 true false true 25360919 /api/publicationidentifier/25360919 https://www.worldcat.org/search?q=isbn%3A9798350317190 9798350317190 PublicationIdentifier ISBN: 9798350317190 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false true 25360920 IDENTICAL /api/publicationidentifier/25360920 https://www.worldcat.org/search?q=isbn%3A9798350317206 9798350317206 PublicationIdentifier ISBN: 9798350317206 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false true 28712337 /api/publicationidentifier/28712337 https://www.worldcat.org/search?q=isbn%3A9798350317213 9798350317213 PublicationIdentifier ISBN: 9798350317213 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/34531738 IEEE [szerk.]. 22nd IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024: Proceedings. (2024) ISBN:9798350317190; 9798350317206; 9798350317213 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false false 34531738 true true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2024 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 114586499 /api/authorship/114586499 Mao, Ruixuan 1 0.33333334 true false false Mao Ruixuan true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114586500 /api/authorship/114586500 Al-Shouha, Modafar [AL-SHOUHA, MODAFAR MOHAMMAD MAHMOOD (Informatika), szerző] Távközlési és Médiainformatikai Tanszék (BME / VIK) 2 0.333 false false false Author 10080365 /api/author/10080365 AL-SHOUHA MODAFAR MOHAMMAD MAHMOOD (Informatika) AL-SHOUHA MODAFAR MOHAMMAD MAHMOOD true true Al-Shouha Modafar true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 114586501 /api/authorship/114586501 Szűcs, Gábor [Szűcs, Gábor (mesterséges intel...), szerző] Távközlési és Médiainformatikai Tanszék (BME / VIK) 3 0.333 false true false Author 10000597 /api/author/10000597 Szűcs Gábor (mesterséges intelligencia, adattudomány) Szűcs Gábor true 10000597 true Szűcs Gábor true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 25544781 /api/publicationidentifier/25544781 DOI: 10.1109/SAMI60510.2024.10432920 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1109/SAMI60510.2024.10432920 https://doi.org/10.1109/SAMI60510.2024.10432920 false true PublicationIdentifier 25877546 /api/publicationidentifier/25877546 Scopus: 85186770339 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 85186770339 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85186770339 false true PublicationIdentifier 25544782 /api/publicationidentifier/25544782 Egyéb URL: https://ieeexplore.ieee.org/document/10432920/ PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://ieeexplore.ieee.org/document/10432920/ https://ieeexplore.ieee.org/document/10432920/ false true Keyword 566 /api/keyword/566 CLASSIFICATION true 566 true Keyword 13035 /api/keyword/13035 remote sensing true 13035 true Keyword 1068063 /api/keyword/1068063 Combinatorial optimization true 1068063 true Keyword 1100942 /api/keyword/1100942 Classification (of information) true 1100942 true Keyword 1105977 /api/keyword/1105977 Hyperspectral true 1105977 true Keyword 1105979 /api/keyword/1105979 Hyperspectral imaging true 1105979 true Keyword 1121696 /api/keyword/1121696 Supervised learning true 1121696 true Keyword 1122118 /api/keyword/1122118 Semi-supervised true 1122118 true Keyword 1140058 /api/keyword/1140058 Classification methods true 1140058 true Keyword 1150722 /api/keyword/1150722 Image classification true 1150722 true Keyword 1170930 /api/keyword/1170930 SUPERVISED CLASSIFICATION true 1170930 true Keyword 1174532 /api/keyword/1174532 K-means clustering true 1174532 true Keyword 1183826 /api/keyword/1183826 K-means true 1183826 true Keyword 1256422 /api/keyword/1256422 High dimensionality true 1256422 true Keyword 1591824 /api/keyword/1591824 Hyperspectral image true true Keyword 1775064 /api/keyword/1775064 Hyperspectral images true true Keyword 2740273 /api/keyword/2740273 Cluster assignment true true Keyword 3362749 /api/keyword/3362749 clusters assignment true true Keyword 3362750 /api/keyword/3362750 Generalized Category Discovery (GCD) true true Keyword 3362751 /api/keyword/3362751 semi-supervised k-means true true Keyword 3362752 /api/keyword/3362752 Generalized category discovery true true Keyword 3362753 /api/keyword/3362753 Semi-supervised k-mean true true /api/publication/34602058 Mao Ruixuan et al. Spectral Generalized Category Discovery by training on combined labels. (2024) Megjelent: 22nd IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 pp. 397-402<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" >Mao Ruixuan </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10080365"><a href="/gui2/?type=authors&mode=browse&sel=10080365" target="_blank">Al-Shouha Modafar (<span class="authorship-author-name">AL-SHOUHA MODAFAR MOHAMMAD MAHMOOD</span> <span class="authorAux-mtmt"> Informatika</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 Médiainformatikai Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10000597"><a href="/gui2/?type=authors&mode=browse&sel=10000597" target="_blank">Szűcs 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 Médiainformatikai Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34602058" target="_blank">Spectral Generalized Category Discovery by training on combined labels</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;34531738" target="_blank">22nd IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 : Proceedings </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Stará Lesna, Szlovákia <span class="conference-date">2024.01.25. - 2024.01.27.</span> </div> <span class="editionNumber">(1)</span> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> pp 397-402 </span> <span class="year">(2024)</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:black" title="10.1109/SAMI60510.2024.10432920" target="_blank" href="https://doi.org/10.1109/SAMI60510.2024.10432920"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="85186770339" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85186770339"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/10432920/" target="_blank" href="https://ieeexplore.ieee.org/document/10432920/"> Egyéb URL </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI60510.2024" target="_blank" href="https://doi.org/10.1109/SAMI60510.2024"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350317190" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317190"> 9798350317190 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9798350317206" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317206"> 9798350317206 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350317213" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350317213"> 9798350317213 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;34602058&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 34602058</span> | <span class="status-data status-APPROVED"> Nyilvános </span> <span class="long-book-mtid">Befoglaló: 34531738</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: 2024.04.22. 11:45 Nagy Ildikó (BME VIK TMIT admin5) </div> </div> </div>