A recent paper posed the question:" Graph Matching: What are we really talking about?". Far
from providing a definite answer to that question, in this paper we will try to characterize the …

Inexact graph matching has been one of the significant research foci in the area of pattern
analysis. As an important way to measure the similarity between pairwise graphs error …

Graphs provide us with a powerful and flexible representation formalism which can be
employed in various fields of intelligent information processing. The process of evaluating …

The field of pattern recognition is usually subdivided into the statistical and the structural
approach. Structural pattern recognition allows one to use powerful and flexible …

This paper presents a novel framework for the recognition of objects based on their
silhouettes. The main idea is to measure the distance between two shapes as the minimum …

This paper proposes a novel graph matching algorithm and applies it to shape recognition
based on object silhouettes. The main idea is to match skeleton graphs by comparing the …

This book is concerned with a fundamentally novel approach to graph-based pattern
recognition based on vector space embedding of graphs. It aims at condensing the high …

A common approach in structural pattern classification is to define a dissimilarity measure on
patterns and apply a distance-based nearest-neighbor classifier. In this paper, we introduce …

Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects
from an unknown category. This paper is aimed at simultaneously solving the following …

With this paper we offer a game-theoretic perspective for the all-pervasive matching problem
in computer vision. Specifically, we formulate the matching problem as a (population) non …