—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
— This work adds the concept of object to an existent low-level attention system of the humanoid robot iCub. The objects are defined as clusters of SIFT visual features. When th...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
We present in this paper a rigorous and automated based approach for the behavioral validation of control software systems. This approach relies on metamodeling, model-transformati...
Alban Rasse, Jean-Marc Perronne, Pierre-Alain Mull...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...