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accuracy of the Hopfield network is consistent, overall, compared to other mentioned
CBIR systems. The use of this method aims at reducing the semantic gap in image
retrieval and computer vision by using a biologically inspired Hebbian learning
approach, which is potentially more advantageous in organizing unannotated and
chaotic data. The most significant of the proposed method is that the network does
not need any pre-known output, unlike supervised approaches, making it more 

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