Titlebook: Artificial Neural Networks - ICANN 2006; 16th International C Stefanos Kollias,Andreas Stafylopatis,Erkki Oja Conference proceedings 2006 S

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A Neural Network to Retrieve Images from Text Queriesn compared to previous models relying on unsupervised feature extraction: average precision over . queries reaches 26.2% for our model, which should be compared to 21.6% for PAMIR, the best alternative.

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Untersuchungen an Cowper und Cowpersteinen, the video-shot and is used for retrieval applications. The retrieval problem is formulated as an inexact graph matching problem between the data video shots and the query input which is also a video segment. Experimental results on action recognition and video retrieval are illustrated and discussed.

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Friedrich Harders,Sigismund Kienow is verified experimentally, by observing that the retrieval precision for the enhanced queries is in higher levels, in comparison with the results derived from the classical term-based retrieval procedure.

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