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Title
Year
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Volume
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Miquel Ferrer; Ernest Valveny
Combination of OCR Engines for Page Segmentation based on Performance Evaluation
2007
9th International Conference on Document Analysis and Recognition
2
784–788
Miquel Ferrer; Ernest Valveny; F. Serratosa
Spectral Median Graphs Applied to Graphical Symbol Recognition
2006
11th Iberoamerican Congress on Pattern Recognition (CIARP´06), J.P. Martinez–Trinidad et al. (Eds.), LNCS 4225: 774–783
Miquel Ferrer; Ernest Valveny; F. Serratosa
Bounding the Size Of the Median Graph
2007
3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478(2):491–498
Miquel Ferrer; Ernest Valveny; F. Serratosa
Comparison Between two Spectral-based Methods for Median Graph Computation
2007
3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478(2):580–587
Miquel Ferrer; Ernest Valveny; F. Serratosa
A New Optimal Algorithm for the Generalized Median Graph Computation Based on the Maximum Common Subgraph
2007
CVC Technical Report #109
Miquel Ferrer; Ernest Valveny; F. Serratosa
Median graph: A new exact algorithm using a distance based on the maximum common subgraph
2009
Pattern Recognition Letters
30
579–588
Miquel Ferrer; Ernest Valveny; F. Serratosa
Median Graphs: A Genetic Approach based on New Theoretical Properties
2009
Pattern Recognition
42
2003–2012
Miquel Ferrer; Ernest Valveny; F. Serratosa
Median Graph Computation by means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subraph
2009
4th Iberian Conference on Pattern Recognition and Image Analysis
5524
346–353
Miquel Ferrer; Ernest Valveny; F. Serratosa; Horst Bunke
Exact Median Graph Computation via Graph Embedding
2008
12th International Workshop on Structural and Syntactic Pattern Recognition
5324
15–24
Miquel Ferrer; Ernest Valveny; F. Serratosa; I. Bardaji; Horst Bunke
Graph-based k-means clustering: A comparison of the set versus the generalized median graph
2009
13th International Conference on Computer Analysis of Images and Patterns
5702
342–350
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