We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
We study the problem of finding good alternative routes in road networks. We look for routes that are substantially different from the shortest path, have small stretch, and are ...
Ittai Abraham, Daniel Delling, Andrew V. Goldberg,...
—In this paper we present an adaptive technique to locally adjust the frequency of processing elements on MP-SoC. The proposed method, based on Game Theory, optimizes the system ...
Diego Puschini, Fabien Clermidy, Pascal Benoit, Gi...
— The problem of rejection of a sinusoidal disturbance of known frequency, acting at the output of a discrete-time complex-valued linear stable plant with unknown dynamics, is co...
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...