— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
3rd Generation Partnership Project's (3GPP) Long Term Evolution (LTE) is focused on enhancing the Universal Terrestrial Radio Access (UTRA). Evolved-Multimedia Broadcast and M...
Antonios G. Alexiou, Christos Bouras, Vasileios Ko...
1 Classical systems using hierarchical modulation (such as DVB-SH) involve a "high-priority" (HP) and a "lowpriority" (LP) bit stream that are separately and in...
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...