The paper describes the MOLA Tool, which supports the model transformation language MOLA. MOLA Tool consists of two parts: MOLA definition environment and MOLA execution environme...
This paper reports our work on extending the OMNeT++ INET Framework with a directional radio model, putting a special emphasis on the implementation of asymmetrical communications...
Paula Uribe, Juan Carlos Maureira Bravo, Olivier D...
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
— We describe the design and implementation of MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest for appropriate metasyste...
Maciej Malawski, Dawid Kurzyniec, Vaidy S. Sundera...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...