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GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
15 years 11 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
NIPS
1998
15 years 7 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
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...
Zoubin Ghahramani, Sam T. Roweis
SIMPRA
2010
110views more  SIMPRA 2010»
15 years 4 months ago
Singularity-free dynamic equations of vehicle-manipulator systems
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,...
Pål Johan From, Vincent Duindam, Kristin Ytt...
CVPR
2007
IEEE
16 years 8 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICCAD
2004
IEEE
125views Hardware» more  ICCAD 2004»
16 years 3 months ago
Simultaneous communication and processor voltage scaling for dynamic and leakage energy reduction in time-constrained systems
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...