We propose a novel approach and tool for collaborative software engineering and development. In model-based software engineering, the underlying data structure is a complex, direc...
Jonathan Michaux, Xavier Blanc, Marc Shapiro, Pier...
Due to the complexity of graph query languages, the need for visual query interfaces that can reduce the burden of query formulation is fundamental to the spreading of graph data ...
Changjiu Jin, Sourav S. Bhowmick, Xiaokui Xiao, By...
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...