The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...
Users increasingly expect access to Web data from a wide range of devices, both wired and wireless. The goal of our research is to inform the design of applications that support d...
The encoding process of image vector quantization (VQ) is very heavy due to it performing a lot of k-dimensional Euclidean distance computations. In order to speed up VQ encoding,...
In this paper we introduce a concept of how the status of project partners in a virtual collaboration environment can be transferred in a subtle manner to gain useful information ...
Moritz Kemper, Constanze Langer, Christine Strotho...
This paper presents an analysis of utilizing unused cycles on supercomputers through the use of many small jobs. What we call “interstitial computing,” is important to superco...