An Eigendecomposition Approach to Weighted Graph Matching Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support Vector Machines for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Linear Programming Approach for the Weighted Graph Matching Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
A RKHS Interpolator-Based Graph Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Shape-Classes Using a Mixture of Tree-Unions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a Generative Model for Structural Representations
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Algorithms for the Sample Mean of Graphs
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Graph classification by means of Lipschitz embedding
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The Journal of Machine Learning Research
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Large sample statistics in the domain of graphs
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Consistent Estimator of Median and Mean Graph
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Supergraph-based Generative Model
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Improving vector space embedding of graphs through feature selection algorithms
Pattern Recognition
Learning generative graph prototypes using simplified von neumann entropy
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
A graph matching based approach to fingerprint classification using directional variance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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To estimate the location-scale parameters of a bell-shaped density on attributed graphs, we consider radial densities as approximations. The problem of estimating the parameters of radial densities on graphs is equivalent to the problem of estimating the parameters of truncated Gaussians in a Euclidean space. Based on this result, we adopt the maximum likelihood method for truncated Gaussians. From the estimated probabilities we inferred the conditional probabilities for a Bayes classifier. Experiments on random graphs and four benchmark data sets of the IAM graph database repository and on random weighted graphs are presented and discussed.