In todays IP networks most of the network control and management tasks are performed at the end points. As a result, many important network functions cannot be optimized due to la...
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
In this article, we investigate efficient transmission of Object-based MPEG-4 video over IP networks with QoS management capabilities. MPEG-4 Audio Visual Objects (AVOs) are class...
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...