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Book
Modélisation en transport
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Year: 1992 Publisher: Liège : Université de Liège,

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Dissertation
Analyse multicritère par le logiciel Argos en vue de définir les principaux attraits d'une plate-forme multimodale située au coeur de l'Europe

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Book
Les nouvelles mobilités : adapter l'automobile aux modes de vie de demain
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ISBN: 9782110084514 Year: 2010 Publisher: Paris : La Documentation française,

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Keywords

Mobilité --- Multimodal --- Transport


Book
The practice of multimodal therapy : systematic, comprehensive, and effective psychotherapy
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ISBN: 0070368139 9780070368132 Year: 1981 Publisher: New York (N.Y.): McGraw-Hill,

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Book
Proceedings of the 3rd International Workshop on Multisensory Approaches to Human-Food Interaction
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Year: 2018 Publisher: New York, New York : ACM,

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Multimodal therapy with children
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ISBN: 0080222366 9780080222363 Year: 1979 Volume: 73 Publisher: Oxford Pergamon

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Periodical
Economics of Transportation
ISSN: 22120122

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Periodical
Truck News
ISSN: 07122683 Publisher: Toronto Business Information Group

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Periodical
物流科技
Publisher: 黑龙江省哈尔滨市 全国物流科技情报信息中心;中国仓储协会

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Book
WCRML'19 : proceedings of the ACM Workshop on Crossmodal Learning and Application : June 10, 2019, Ottawa, ON, Canada
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Year: 2019 Publisher: New York : The Association for Computing Machinery,

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It is our great pleasure to welcome you to the ACM International Conference on Multimedia Retrieval - WCRML'19. Learning from data in different modalities has been a popular research topic in both academia and industry. Utilizing information cross-modalities is particularly important in scenarios where multi-modal data is easy to obtain but only few of the modalities are richly annotated. In contrast to multimodal learning that mainly focuses on information fusion from multiple modalities, cross-modal learning involves semantic interactions between different modalities and has been shown to create interesting applications such as image captioning and visually indicated sounds.This workshop is of interest to audiences from both academia and industry. For academic attendees, the targeted audience includes researchers who develop models and systems interacting with heterogeneous data and who would like to see how their models and systems can be applied in industry scenarios. For students who will be applying for jobs after graduation, this workshop will show them possible research challenges that are relevant to industry. In recent years, an increasing number of industry researchers have also been joining top artificial intelligence and machine learning conferences. This workshop creates opportunities for them to exchange their experiences from different business areas, and learn from the latest advances in academia.

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