Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
We describe a peer-to-peer self-organizing overlay network for our global computing system. The preliminary simulation results show that the network has some smallworld characteri...
Wen Dou, Yan Jia, Huaimin Wang, Wen Qiang Song, Pe...
Overall efficiency of high-performance computing clusters not only relies on the computing power of the individual nodes, but also on the performance that the underlying network c...
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...