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Showing 1 to 3 of 3 for “"multi-layered network"”.

  1. ScatterNet Hybrid Frameworks for Deep Learning

    … modulus, and pooling operations. Deep learning networks ignore these geometric considerations and compute descriptors having suitable invariance and stability to geometric transformations using (end-to-end) learned multi-layered network filters. These deep learning networks in recent years have …

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  2. Dense subgraph detection on multi-layered networks

    … aim to discover dense subgraphs within a single network, or within a multi-view network consisting of a common set of nodes. However, many real-world applications can be better modeled as multi-layered networks, where nodes and their dependencies vary across the different layers. Dense subgraph …

    uiuc Repository record for Dense subgraph detection on multi-layered networks (opens in a new tab)