Titlebook: Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User; 7th International Wo Marcin Detyniecki,Ana García-Serrano,Andr

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Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User7th International Wo

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An Overview of Arabian Economies,method automatically classifies the alignments locally as reliable or critical. Considering only the reliable parts yields a high-precision partial alignment. Moreover, the identification of critical parts is also useful, as they often reveal musically interesting deviations between the versions to

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William Barnett II,Walter Blockudio signal search procedure. We provide a simple example as a proof of concept, and show that similarity search within adapted sparse domains can provide fast and efficient ways to search for data similar to a given query.

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https://doi.org/10.1057/9781403907684 handle for common search, question-answer or customer support systems. In this paper we propose a system which should be capable of (semi-) automatically analyzing and reacting to different types of requests in closed domains based on a cognitive linguistics approach.

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0302-9743 iewed. The papers are organized in topical sections on grasping multimedia streams; pinpointing music; adapting distances; understanding images; and around the user.978-3-642-18448-2978-3-642-18449-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Andreas Hoffmann,Nicolas Cachanoskyroach, we designed a target search experiment in which both low-level and prosemantic features are embedded into a content-based image retrieval system exploiting relevance feedback. The experiments show that the use of prosemantic features allows for a more successful and quick retrieval of the query images.

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