heretofore, a vast spectrum of pattern recognition methods has been considered by researchers to design credit scoring models. but what has not been considered enough in these studies is the lack of consideration of the needs of this subject which differentiate it from a simple classification. it is necessary to observe the costs of a wrong classification, because practically the cost of improp...

spatial pattern of trees is an important characteristic of plant communities. generating hypotheses relating to the structure of ecological communities is the aim of spatial pattern recognition. stands spatial patterns are measured and mapped by measuring tree locations in the stand and entering each coordinates into analytical frameworks. the spatial pattern of plant populations observed at an...

We present and compare two new techniques for Learning Relational Structures (RS) as they occur in 2D pattern and 3D object recognition. The two techniques, Evidence-Based Systems (EBS) and Rulegraphs (RG) combine techniques from Computer Vision with those from Machine Learning, Uncertainty Theory, and Graph Matching. EBS have the ability to generalize pattern rules from training instances in t...

With a growing amount of electronic documents available, there is a need to classify documents automatically. In growing text classification applications, important-term selection is a critical task for the classifier performance. Although many different techniques and heuristics have been developed, this paper shows that many of them are just a sub-set of more advanced methods originating in t...

This tutorial presents an introduction to the studies undertaken by the authors and their collaborators between 1997 and 2009 on the topic of dissimilarity representations for pattern recognition.