Mesh generation is a critical step in high fidelity computational simulations. High-quality and high-density meshes are required to accurately capture the complex physical phenome...
Yasushi Ito, Alan M. Shih, Anil K. Erukala, Bharat...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Model checking security protocols is based on an intruder model that represents the eavesdropping or interception of the exchanged messages, while at the same time performs attack...
Dynamic power is the main source of power consumption in CMOS circuits. It depends on the square of the supply voltage. It may significantly be reduced by scaling down the supply ...
Noureddine Chabini, El Mostapha Aboulhamid, Yvon S...
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...