In this paper, we develop and discuss several distance measures for permutation type representations of solutions of combinatorial optimisation problems. The problems discussed in...
In the field of structural pattern recognition graphs constitute a very common and powerful way of representing patterns. In contrast to string representations, graphs allow us to ...
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...