Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Stevan Rudinac"'
Publikováno v:
International Journal of Information Management Data Insights, Vol 4, Iss 2, Pp 100269- (2024)
Visual content on platforms like Instagram and TripAdvisor plays a crucial role in consumer decision-making, particularly in intangible sectors like hospitality, where consumers rely on such information to gauge service quality prior to consumption.
Externí odkaz:
https://doaj.org/article/159c4582e389447f9ca7d02777a11422
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract The adoption of high-performance computing (HPC) in healthcare has gained significant attention in recent years, driving advancements in medical research and clinical practice. Exploring the literature on HPC implementation in healthcare is
Externí odkaz:
https://doaj.org/article/37f673234eff4d3d99ff31ee4d893079
Autor:
Branimir Reljin, Irini Reljin, Nikola Reljin, Stevan Rudinac, Maja Rudinac, Vladan Radosavljević, Goran Zajić, Nenad Kojić
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Content-based image retrieval (CBIR) system with relevance feedback, which uses the algorithm for feature-vector (FV) dimension reduction, is described. Feature-vector reduction (FVR) exploits the clustering of FV components for a given query. Cluste
Externí odkaz:
https://doaj.org/article/0fb9d0b3f45e462ca300fb94b086e0fa
Publikováno v:
Human Communication Research, 48(1), 116-145
Human Communication Research, 48(1), 116-146. Wiley-Blackwell
Human Communication Research, 48(1), 116-146. Wiley-Blackwell
Calls to “break up” radical echo chambers by injecting them with alternative viewpoints are common. Yet, thus far there is little evidence about the impact of such counter-messaging. To what extent and how do individuals who inhabit a radical ech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63f451afcc88a08e88403f322878c8c
https://hdl.handle.net/11370/b9918082-3f0b-4135-9914-a0625544db18
https://hdl.handle.net/11370/b9918082-3f0b-4135-9914-a0625544db18
Publikováno v:
MultiMedia Modeling ISBN: 9783031270765
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f9a4aba6b482fa2b7797bd11834570
https://doi.org/10.1007/978-3-031-27077-2_41
https://doi.org/10.1007/978-3-031-27077-2_41
Autor:
Omar Shahbaz Khan, Björn Þór Jónsson, Jan Zahálka, Aaron Duane, Marcel Worring, Stevan Rudinac
Publikováno v:
LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge: August 21, 2021, Taipei, Taiwan, 3-6
STARTPAGE=3;ENDPAGE=6;TITLE=LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge
LSC@ICMR
Khan, O S, Duane, A, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers . in LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 3-6 . https://doi.org/10.1145/3463948.3469255, https://doi.org/https://dl.acm.org/doi/10.1145/3463948.3469255
STARTPAGE=3;ENDPAGE=6;TITLE=LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge
LSC@ICMR
Khan, O S, Duane, A, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Exquisitor at the Lifelog Search Challenge 2021: Relationships Between Semantic Classifiers . in LSC '21: Proceedings of the 4th Annual on Lifelog Search Challenge . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 3-6 . https://doi.org/10.1145/3463948.3469255, https://doi.org/https://dl.acm.org/doi/10.1145/3463948.3469255
Exquisitor is a scalable media exploration system based on interactive learning. To satisfy a user's information need, the system asks the user for feedback on media items and uses that feedback to interactively construct a classifier, that is in tur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b43ec42f54dc9d49241e881484c8578
https://doi.org/10.1145/3463948.3469255
https://doi.org/10.1145/3463948.3469255
Publikováno v:
Multimedia Tools and Applications, 80(15), 23133-23134. Springer Netherlands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17685b82579bc4c6f0036012bd4cc07d
https://dare.uva.nl/personal/pure/en/publications/special-issue-on-contentbased-multimedia-indexing-in-the-era-of-artificial-intelligence(6c56a6cd-b81c-4ec5-8d62-69362212cc55).html
https://dare.uva.nl/personal/pure/en/publications/special-issue-on-contentbased-multimedia-indexing-in-the-era-of-artificial-intelligence(6c56a6cd-b81c-4ec5-8d62-69362212cc55).html
Autor:
Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 120 full papers included in this volume were carefully
Autor:
Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata
This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29–February 2, 2024.The 112 full papers included in this volume were carefully
Publikováno v:
ICMR
Khan, O S, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Impact of Interaction Strategies on User Relevance Feedback . in ICMR '21: Proceedings of the 2021 International Conference on Multimedia Retrieval . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 590-598 . https://doi.org/10.1145/3460426.3463663, https://doi.org/https://dl.acm.org/doi/10.1145/3460426.3463663
ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan, 590-598
STARTPAGE=590;ENDPAGE=598;TITLE=ICMR '21
Khan, O S, Jónsson, B T, Zahálka, J, Rudinac, S & Worring, M 2021, Impact of Interaction Strategies on User Relevance Feedback . in ICMR '21: Proceedings of the 2021 International Conference on Multimedia Retrieval . Association for Computing Machinery, Taipei, Taiwan (virtual), pp. 590-598 . https://doi.org/10.1145/3460426.3463663, https://doi.org/https://dl.acm.org/doi/10.1145/3460426.3463663
ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan, 590-598
STARTPAGE=590;ENDPAGE=598;TITLE=ICMR '21
User Relevance Feedback (URF) is a class of interactive learning methods that rely on the interaction between a human user and a system to analyze a media collection. To improve URF system evaluation and design better systems, it is important to unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd1124d041472afff3a1eba6e320884
https://dare.uva.nl/personal/pure/en/publications/impact-of-interaction-strategies-on-user-relevance-feedback(dda86a64-4877-4712-bec2-534dcd783e0a).html
https://dare.uva.nl/personal/pure/en/publications/impact-of-interaction-strategies-on-user-relevance-feedback(dda86a64-4877-4712-bec2-534dcd783e0a).html