„Multimedia Database System“
Suchergebnisse
468 Treffer
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Computer Vision Systems – 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings
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Advances in Computer Science, Engineering & Applications – Proceedings of the Second International Conference on Computer Science, Engineering & Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India. Volume 2
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Advances in Computer Science, Engineering & Applications – Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India, Volume 1
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Computer Vision Systems – 8th International Conference, ICVS 2011, Sophia Antipolis, France, September 20-22, 2011. Proceedings
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Advanced Research on Electronic Commerce, Web Application, and Communication – International Conference, ECWAC 2011, Guangzhou, China, April 16-17, 2011. Proceedings, Part I
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Database systems for advanced applications – 9th international conference ; proceedings
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Databases in networked information systems – second international workshop ; proceedings
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Advances in databases and information systems – third east European conference ; proceedings
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Advances in databases and information systems – 5th East European conference ; proceedings
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Database and expert systems applications – 11th international conference ; proceedings
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Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions
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Visual query specification in a multimedia database system
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GRADI, a Graphical Database Interface for a Multimedia DBMS
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Informationsverarbeitung und -verteilung virtualisierter Organisationen – Weigle, J., Das Beispiel der Multimedia-Branche ISBN 3-835-00606-5, DUV, Wiesbaden 2007, 263 Seiten, € 49,90
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A Comprehensive Review of Multimodal Visual Representation Learning: Tracing the Evolution from CNNs to Transformers and Beyond
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Feature-NeuS: Neural Implicit Surface Reconstruction Using Feature Multi-View Consistency Constraint
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A similarity-optimized and semantic-aligned method for unsupervised cross-modal hashing retrieval
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ETG: the graph convolutional network was enhanced with an EA-transformer for aspect sentiment triplet extraction
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Weighted semantic feature based self-supervised deep cross-modal hashing
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Ultra fast-inference depth completion with linear attention-based cascaded hourglass network