The present lack of a stable method to compare persistent homology groups with torsion is a relevant problem in current research about Persistent Homology and its applications in P...
Overlapping classes and outliers can significantly decrease a classifier performance. We adress here the problem of giving a classifier the ability to reject some patterns eith...
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
The concept of design patterns has recently emerged as a new paradigm in the context of object-oriented design methodology. Similar ideas are being explored in other areas of compu...