Titlebook: Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation; 10th International W Andreas Nürnberger,Sebastian Stober,Marcin Detynie

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The World Bank, Development, and Health,escriptors leads to an improvement of classification accuracy. Comparing the results of Temporal Echonest Features to those of approved conventional audio descriptors used as benchmarks, these approaches perform well, often significantly outperforming their predecessors, and can be effectively used for large scale music genre classification.

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Representativeness and Diversity in Photos via Crowd-Sourced Media Analysis

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Ablation

Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation10th International W

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Studies in Contemporary Economicscommenders should express relevance by providing reasons speaking for a recommended item. In this work we present an attribute explanation retrieval approach to provide these reasons and show how to evaluate such approaches. Therefore, we set up an online user study where users were asked to provide

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https://doi.org/10.1007/978-3-642-51516-3fined via crowd-sourcing which adapts the results to human. The method was validated in the context of the retrieval of images with monuments using a data set of more than 25.000 images retrieved from various social image search platforms.

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Case Studies of Successful Strategic Models,tion framework, that provides end-to-end automated recognition and annotation. In our study into automated annotation, we evaluate 5 alternate approaches to tf-idf to rank tag relevance in community contributed landmark image corpora. We carry out a thorough evaluation of each of these ranking metri

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