Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Change representation concerns how changes of text are presented in writing tools. Change representation in collaborative writing can play an important role for the collaborators&...
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Graphical representations have long been associated with more efficient problem solving. More recently, researchers have begun looking at how representation may affect the informat...