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MICCAI
2009
Springer
16 years 8 months ago
Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging
We address the problem of efficient sampling of the diffusion space for the Diffusion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acqui...
Haz-Edine Assemlal, David Tschumperlé, Luc ...
ICML
2004
IEEE
16 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
FDL
2006
IEEE
16 years 1 months ago
Bridging the Gap Between SysML and Design Space Exploration
In the last few years the embedded systems design discipline required new design methodologies and new specification languages to support system engineers in developing heterogen...
Mauro Prevostini, Sivakumar Ganesan
DSRT
2005
IEEE
16 years 24 days ago
Modeling Decentralized Real-Time Control by State Space Partition of Timed Automata
Timed automata provide useful state machine based representations for the validation and verification of realtime control systems. This paper introduces an algorithmic methodolog...
Thanikesavan Sivanthi, Srivas Chennu, Lothar Kreft
ICML
2003
IEEE
16 years 12 days ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens