Experimentally driven research for wireless sensor networks is invaluable to provide benchmarking and comparison of new ideas. An increasingly common tool in support of this is a t...
Tobias Baumgartner, Ioannis Chatzigiannakis, Maick...
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Abstract. Few of the benefits of exploiting partially reconfigurable devices are power consumption reduction, cost reduction, and customized performance improvement. To obtain thes...
Thomas Marconi, Yi Lu 0004, Koen Bertels, Georgi G...
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
Michal Lewandowski, Jesus Martinez-Del-Rincon, Dim...
Most existing performance evaluation methods concentrate on defining separate metrics over a wide range of conditions and generating standard benchmarking video sequences for exam...
Chung-Hao Chen, Yi Yao, Andreas Koschan, Mongi Abi...