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For the purpose of enhancing discriminability of convolutional neural networks (CNNs) and facilitating optimization, a multilayer structured variant of the maxout unit (named Multilayer Maxout Network, MMN) is proposed in this paper. CNNs with maxout units employ linear convolution filters followed by maxout units to abstract representations from less(More)
In social image search, most existing hypergraph methods use the visual and textual features in isolation by treating each feature term as a hyperedge. Nevertheless, they neglect the correlations of visual and textual hyperedges, which are more robust to represent the high-order relationship among vertices. In this paper, we propose a hypergraph with(More)
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