In this paper we consider the novel idea of closest feature maps (CFMs) applied to refinable collision response in order to address the potential issues and problems associated wi...
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Map labeling of point-feature is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the ...
Wan D. Bae, Shayma Alkobaisi, Petr Vojtechovsk&yac...
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models. A large number of algor...