Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
The state of the art in verifying the real-time requirements of applications developed using general processing graph models relies on simulation or off-line scheduling. We extend...
: Traffic shaping function becomes imperative for the new broadband services that are being deployed in order to avoid information loss, to provide the end users multiple traffic o...
Francis Joseph Ogwu, Mohammad Talib, Ganiyu Aderou...
— In this paper, we present a comprehensive energy estimation framework for software executing on Very Long Instruction Word (VLIW) processor cores. The proposed energy model is ...