Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
: Small unmanned vertical take off and landing vehicles are used to provide the eye-in-the-sky alternative to monitoring and regulating traffic dynamically. Spatial-temporal visual...
In distributed hybrid computing systems, traditional sequential processors are loosely coupled with reconfigurable hardware for optimal performance. This loose coupling proves to...
—This paper describes a biologically-inspired network architecture, called SymbioticSphere, which allows large-scale data centers to autonomously adapt to dynamic environmental c...