In the Meta Object Facility (MOF) meta-modeling architecture a number of model transformation scenarios can be identified. It could be expected that a meta-modeling architecture wi...
Model evolution is often supported by writing model transformation rules in specialized languages. This presents challenges to those who are unfamiliar with model transformation l...
Abstract— This paper derives a novel property of the secondorder modes of discrete-time systems under variable transformation. This is the generalization of the theory presented ...
We propose an approach to transformational planning and learning of everyday activity. This approach is targeted at autonomous robots that are to perform complex activities such a...
A very common type of a-priori knowledge in pattern analysis problems is invariance of the input data with respect to transformation groups, e.g. geometric transformations of imag...