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Titlebook: MultiMedia Modeling; 30th International C Stevan Rudinac,Alan Hanjalic,Yoko Yamakata Conference proceedings 2024 The Editor(s) (if applicab

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書目名稱MultiMedia Modeling
副標(biāo)題30th International C
編輯Stevan Rudinac,Alan Hanjalic,Yoko Yamakata
視頻videohttp://file.papertrans.cn/641/640139/640139.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: MultiMedia Modeling; 30th International C Stevan Rudinac,Alan Hanjalic,Yoko Yamakata Conference proceedings 2024 The Editor(s) (if applicab
描述.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 reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; computer hardware; computer vision; databases; education; image analysis; image p
版次1
doihttps://doi.org/10.1007/978-3-031-53308-2
isbn_softcover978-3-031-53307-5
isbn_ebook978-3-031-53308-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱MultiMedia Modeling影響因子(影響力)




書目名稱MultiMedia Modeling影響因子(影響力)學(xué)科排名




書目名稱MultiMedia Modeling網(wǎng)絡(luò)公開度




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Conference proceedings 2024M conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods..
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0302-9743 ns. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods..978-3-031-53307-5978-3-031-53308-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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978-3-031-53307-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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MultiMedia Modeling978-3-031-53308-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Management of Side Effects in the Personalized Medicine Era: Chemotherapy-Induced Peripheral Neuropathyf interest: even the most refined genetic analysis cannot be effective if not applied correctly. Here, we try to devise why it is so, suggesting how THE “bench-side” (Pharmacogenomics) might benefit from and should cooperate with THE “bed-side” (Clinimetrics), in order to make genetic profiling effective if applied to CIPN.
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ApproximationWe consider three introductory methods that should be known by computational scientists. The first approximation is the method of least squares, which is a technique to optimize a particular functional form to a collection of data. If data is assumed to be stochastic, i.e. drawn from a random proces
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