Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
The availability of heterogeneous wireless interfaces and of growing computing resources on widespread portable devices pushes for enabling innovative deployment scenarios where mo...
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
The low bit rate of existing video encoders relies heavily on the accuracy of estimating actual motion in the input video sequence. In this paper, we propose a Video Stabilization...
Bao Lei, Rene Klein Gunnewiek, Peter H. N. de With
Commonly used pattern sources in simulation-based verification include random, guided random, or design verification patterns. Although these patterns may help bring the design ...
Sung-Jui (Song-Ra) Pan, Kwang-Ting Cheng, John Moo...