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ISCI
2007
170views more  ISCI 2007»
14 years 10 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
ISVC
2010
Springer
14 years 8 months ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu
ICDE
2010
IEEE
248views Database» more  ICDE 2010»
15 years 9 months ago
Similarity Search on Supergraph Containment
A supergraph containment search is to retrieve the data graphs contained by a query graph. In this paper, we study the problem of efficiently retrieving all data graphs approximate...
Haichuan Shang, Ke Zhu, Xuemin Lin, Ying Zhang, Ry...
SSPR
2000
Springer
15 years 1 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
FAC
2002
66views more  FAC 2002»
14 years 9 months ago
Shallow Linear Action Graphs and their Embeddings
Action calculi, which generalise process calculi such as Petri nets, -calculus and ambient calculus, have been presented in terms of action graphs. We here offer linear action grap...
James J. Leifer, Robin Milner