Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Testing of high density SoCs operating at high clock speeds is an important but difficult problem. Many faults, like delay faults, in such sub-micron chips may only appear when th...
Tomas Bengtsson, Artur Jutman, Shashi Kumar, Raimu...
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using...
Operating systems for reconfigurable devices enable the development of embedded systems where software tasks, running on a CPU, can coexist with hardware tasks running on a recon...
This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact...