Due to the extremely large sizes of power grids, IR drop analysis has become a computationally challenging problem both in terms of runtime and memory usage. It has been shown in [...
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...
We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the 1 -norm of the wavelet coefficients of the solution. ...
The software codec on mobile device introduces significant power consumption because the energy efficiency of general processor based system is much lower than that of the dedicat...
Min Li, Xiaobo Wu, Zihua Guo, Richard Yao, Xiaolan...