Automatic pattern recognition is usually considered as an engineering area which focusses on the development and evaluation of systems that imitate or assist humans in their ability of recognizing patterns. It may, however, also be considered as a science that studies the faculty of human beings (and possibly other biological systems) to discover, distinguish, characterize patterns in their env...

Abstract. Structural pattern recognition plays a central role in many applications. Recent advances include new theoretical results, methods and successful applications. In the present talk, some recent graph-based methods for shape analysis will be shown. The presented methods include a new representation for graph-matchingbased interactive segmentation and models for the analysis of spatial r...

Graph-based representations are of broad use and applicability in pattern recognition. They exhibit, however, a major drawback with regards to the processing tools that are available in their domain. Graph embedding into vector spaces is a growing field among the structural pattern recognition community which aims at providing a feature vector representation for every graph, and thus enables cl...

Statistical inference of sensor-based measurements is intensively studied in pattern recognition. It is usually based on feature representations of the objects to be recognized. Such representations, however, neglect the object structure. Structural pattern recognition, on the contrary, focusses on encoding the object structure. As general procedures are still weakly developed, such object desc...

An expert system for analysis and recognition of general symbols is introduced. The system uses the structural pattern recognition technique for modeling symbols by a set of straight lines referred to as segments. The system rotates, scales and thins the symbol, then extracts the symbol strokes. Each stroke is transferred into segments (straight lines). The system is shown to be able to map sim...

Function-described graphs (FDGs) have been introduced very recently as a representation of an ensemble of attributed relational graphs (ARGs) for structural pattern recognition 1, 2]. In this paper, the relationship between FDGs and Random Graphs 3] is analysed and the synthesis process of FDGs is studied, whereas the matching process between FDGs and ARGs is discussed elsewhere 4]. Two procedu...

This paper is concerned with the inexact matching of attributed, relational graphs for structural pattern recognition. The matching procedure is based on a state space search utilizing heuristic information. Some experimental results are reported.

In this paper, we suggest a pattern language, a collection of related design patterns, for the development of communication protocols with an emphasis on an SDL (Specification and Description Language) implementation. The patterns are grouped in two categories: structural patterns and behavioral patterns. The structural patterns are focused on the architectural aspects of communication protocol...

The purpose of this study is to examine how the collaboration structure among inventors in an R and D organization affects its capability to create impactful innovations. Specifically, this study is focused on examining whether a certain type of network mechanism found in collaboration among inventors contributes more to enhancing the future impacts of collaboration outputs, which is represente...