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» Automatic learning of cost functions for graph edit distance
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ISCI
2007
170views more  ISCI 2007»
13 years 4 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
ICPR
2004
IEEE
14 years 5 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
PAMI
2006
164views more  PAMI 2006»
13 years 4 months ago
A Binary Linear Programming Formulation of the Graph Edit Distance
A binary linear programming formulation of the graph edit distance for unweighted, undirected graphs with vertex attributes is derived and applied to a graph recognition problem. ...
Derek Justice, Alfred O. Hero
NIPS
2004
13 years 5 months ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
ICDAR
2011
IEEE
12 years 3 months ago
A Method of Evaluating Table Segmentation Results Based on a Table Image Ground Truther
—We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we first extract connected components fr...
Yanhui Liang, Yizhou Wang, Eric Saund