We present a method for discovering informative patterns from data. With this method, large databases can be reduced to only a few representative data entries. Our framework encompasses also methods for cleaning databases containing corrupted data. Both on-line and off-line algorithms are proposed and experimentally checked on databases of handwritten images. The generality of the framework mak...

This paper outlines a conceptual framework for the design of psychologically well-founded informative tutoring feedback forms. This framework is on the one hand based on the large body of research on multiple elaborated feedback types. On the other hand cognitive task and error analyses serve as roots for the development of systematic design strategies. Furthermore, the present paper illustrate...

When we perceive a visual object, we implicitly or explicitly associate it with an object category we know. Recent research has shown that the visual system can use local, informative image fragments of a given object, rather than the whole object, to classify it into a familiar category. We have previously reported, using human psychophysical studies, that when subjects learn new object catego...

A holonomic function is a differentiable or generalized function which satisfies a holonomic system of linear partial or ordinary differential equations with polynomial coefficients. The main purpose of this paper is to present algorithms for computing a holonomic system for the definite integral of a holonomic function with parameters over a domain defined by polynomial inequalities. If the in...