Abstract: This paper proposes extensions to the Object-Role Modeling approach to support schema transformations that eliminate unneeded columns that may arise from standard relatio...
We present a novel family of data-driven linear transformations, aimed at visualizing multivariate data in a low-dimensional space in a way that optimally preserves the structure ...
Whenever XML data must be shared by heterogeneous applications, transformations between different applicationspecific XML formats are necessary. The state-of-the-art method transf...
Background: Many real networks can be understood as two complementary networks with two kind of nodes. This is the case of metabolic networks where the first network has chemical ...
Jose C. Nacher, Nobuhisa Ueda, Takuji Yamada, Mino...
We present a domain-specific approach to representing datapaths for hardware implementations of linear signal transform algorithms. We extend the tensor structure for describing l...