A Bayesian compatibility model for graph matching
Pattern Recognition Letters
A New Probabilistic Relaxation Scheme and Its Application to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Dynamics of Nonlinear Relaxation Labeling Processes
Journal of Mathematical Imaging and Vision
A Bayesian interpretation for the exponential correlation associative memory
Pattern Recognition Letters
An energy function and continuous edit process for graph matching
Neural Computation
Storage Capacity of the Exponential Correlation Associative Memory
Neural Processing Letters
Least Committment Graph Matching by Evolutionary Optimisation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Graph-Based Methods for Vision: A Yorkist Manifesto
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Genetic Algorithm Based Method to Improve Image Segmentation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Empirical Modelling of Genetic Algorithms
Evolutionary Computation
A Riemannian approach to graph embedding
Pattern Recognition
Probabilistic relaxation labelling using the Fokker-Planck equation
Pattern Recognition
Fast online graph clustering via Erdős-Rényi mixture
Pattern Recognition
A graph-spectral method for surface height recovery
Pattern Recognition
Graph attribute embedding via Riemannian submersion learning
Computer Vision and Image Understanding
Towards the unification of structural and statistical pattern recognition
Pattern Recognition Letters
Pattern analysis with graphs: Parallel work at Bern and York
Pattern Recognition Letters
3D Scene interpretation by combining probability theory and logic: The tower of knowledge
Computer Vision and Image Understanding
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