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Approximate nearest neighbor search is a good method for large-scale image retrieval. We put forward an effective deep learning framework to generate binary hash codes for fast image retrieval after knowing the recent benefits of convolutional neural networks (CNNs). Our concept is that we can learn binary codes by using a hidden layer to present the latent concepts dominating the class labels when...
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