: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environ...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
Abstract—Network power consumption can be reduced considerably by adapting link data rates to their offered traffic loads. In this paper, we exploit how to leverage rate adaptat...
In this paper we present an adaptive but robust object
detector for static cameras by introducing classifier grids.
Instead of using a sliding window for object detection we
pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...