Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
In this paper we derive the singularity-free dynamic equations of vehiclemanipulator systems using a minimal representation. These systems are normally modeled using Euler angles,...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
In this paper, we propose a new technique for the combined voltage scaling of processors and communication links, taking into account dynamic as well as leakage power consumption....
Alexandru Andrei, Marcus T. Schmitz, Petru Eles, Z...