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Showing 2016Show all
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stat.ML2016★ 19 cited
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
Petar Veličković, Duo Wang, Nicholas D. Lane +1
In this paper we propose cross-modal convolutional neural networks (X-CNNs), a novel biologically inspired type of CNN architectures, treating gradient descent-specialised CNNs as…
physics.ins-det2016★ 224 cited
Graphene-based, mid-infrared, room-temperature pyroelectric bolometers with ultrahigh temperature coefficient of resistance
U. Sassi, R. Parret, S. Nanot +9
Graphene is ideally suited for photonic and optoelectronic applications, with a variety of photodetectors (PDs) in the visible, near-infrared (NIR), and THz reported to date, as we…