Although existing work has explored both information extraction and community content creation, most research has focused on them in isolation. In contrast, we see the greatest le...
Modern digital signal processing applications have an increasing demand for computational power while needing to preserve low power dissipation and high flexibility. For many appl...
B. Neumann, Thorsten von Sydow, Holger Blume, Tobi...
: Public key cryptography (PKC) has been considered for a long time to be computationally too expensive for small battery powered devices. However, PKC turned out to be very benefi...
In this paper, we propose a novel shape representation we call Directional Histogram Model (DHM). It captures the shape variation of an object and is invariant to scaling and rigi...
Xinguo Liu, Robin Sun, Sing Bing Kang, Heung-Yeung...
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...