In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
Christoph Kolodziejski, Bernd Porr, Minija Tamosiu...
Abstract The growing demand for large and complex ontologies present new challenges related to their design, maintenance and evolution. In this paper, we propose an approach to man...
In this paper, we study the formalization of one-pass call-by-value CPS compilation using higher-order abstract syntax. In particular, we verify mechanically that the source progr...
Abstract Methodologies involves both process elements and product elements. The OPEN Process Framework (OPF) focusses largely on process elements in the context of object-oriented ...
Brian Henderson-Sellers, Paolo Giorgini, Paolo Bre...
Abstract. The decomposition of images into their meaningful components is one of the major tasks in computer vision. Tadmor, Nezzar and Vese [1] have proposed a general approach fo...
Moncef Hidane, Olivier Lezoray, Vinh-Thong Ta, Abd...