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CVPR
2009
IEEE
14 years 12 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
CODES
2010
IEEE
13 years 2 months ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 11 months ago
Investigating data-flow coverage of classes using evolutionary algorithms
It is not unusual for a software development organization to expend 40 percent of total project effort on testing, which can be a very laborious and time-consuming process. Thus, ...
Konstantinos Liaskos, Marc Roper, Murray Wood
RISE
2005
Springer
13 years 10 months ago
Software Testing with Evolutionary Strategies
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...
Enrique Alba, J. Francisco Chicano
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener