TVCG
2011
13 years 5 months ago
2011
—This paper considers the problem of interactively finding the cutting contour to extract components from an existing mesh. First, we propose a constrained random walks algorith...
ICMLC
2010
Springer
13 years 8 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
VMV
2001
14 years 7 days ago
2001
This paper presents an application for semiautomatic repositioning of bone fractures that allows the merging of several fragments. This application has been developed with regard ...
GECCO
2010
Springer
14 years 27 days ago
2010
Springer
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
ISCC
2006
IEEE
14 years 4 months ago
2006
IEEE
Often in Internet Protocol (IP) networks, links are assigned weights, and traffic demands are routed along shortest paths. Hence, these link weights are the parameters which dete...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
DATE
2008
IEEE
14 years 5 months ago
2008
IEEE
Increasing reliability at a minimum amount of extra cost is a major challenge in todays ECU network design. Considering reliability as an objective already in early design phases ...
ICDE
2002
IEEE
15 years 7 days ago
2002
IEEE
We study the problem of query optimization in federated relational database systems. The nature of federated databases explicitly decouples many aspects of the optimization proces...
ICDE
2008
IEEE
15 years 7 days ago
2008
IEEE
Abstract-- Our demonstration introduces a novel system architecture which massively facilitates optimization in data stream management systems (DSMS). The basic idea is to decouple...