Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
In this paper, we propose two FPGA-area allocation algorithms based on profiling results for reducing the impact on performance of dynamic reconfiguration overheads. The problem o...
Elena Moscu Panainte, Koen Bertels, Stamatis Vassi...
The paper studies the optimal placement of multiple cameras and the selection of the best subset of cameras for single target localization in the framework of sensor networks. The ...
Ali Ozer Ercan, Danny B. Yang, Abbas El Gamal, Leo...
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...