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IWANN
2009
Springer
16 years 1 months ago
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...
ECCV
2008
Springer
16 years 11 months ago
Generative Image Segmentation Using Random Walks with Restart
We consider the problem of multi-label, supervised image segmentation when an initial labeling of some pixels is given. In this paper, we propose a new generative image segmentatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
IMR
2004
Springer
15 years 12 months ago
Twelve Ways to Fool The Masses when Describing Mesh Generation Performance
Mesh generation for finite element analysis is far from a solved problem. Although several automatic meshing algorithms exist, other difficulties of setting up a problem for finit...
Timothy J. Tautges, David R. White, Robert W. Lela...
IJHIS
2008
84views more  IJHIS 2008»
15 years 6 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
DIS
2009
Springer
16 years 1 months ago
Linear Programming Boosting by Column and Row Generation
Abstract. We propose a new boosting algorithm based on a linear programming formulation. Our algorithm can take advantage of the sparsity of the solution of the underlying optimiza...
Kohei Hatano, Eiji Takimoto