A mixin is a reusable module that provides uniform extensions and modifications to classes. It is an abstract subclass that is composable with a variety of superclasses. In mixin-based composition, however, the problem of accidental overriding arises. A method declared in a mixin may accidentally override its superclass’s method. To tackle this problem, we propose a selective method combination...

In the field of pattern recognition, combining different classifiers into a robust classifier is a common approach for improving classification accuracy. Recently, this trend has also been used to improve clustering performance especially in non-hierarchical clustering approaches. Generally hierarchical clustering is preferred in comparison with the partitional clustering for applications when ...

This paper presents an algorithm allowing to perform photometric stereo with high accuracy results in the presence of shadows. First, we choose a combination of three images suited to reveal the presence of shadow and use it to calculate the normal vector on each pixel. This normal vector is then used to recalculate the intensity in order to evaluate the distance with the real intensities and d...

We present a combination method for generating interpolants for a class of first-order theories. Using interpolant-generation procedures for individual theories as black-boxes, our method modularly generates interpolants for the combined theory. Our combination method applies for a broad class of first-order theories, which we characterize as equalityinterpolating Nelson-Oppen theories. This cl...