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Author
Title
Year
Publication
Volume
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Pau Riba; Anjan Dutta; Josep Llados; Alicia Fornes
Graph-based deep learning for graphics classification
2017
12th IAPR International Workshop on Graphics Recognition
29-30
Sanket Biswas; Pau Riba; Josep Llados; Umapada Pal
Graph-Based Deep Generative Modelling for Document Layout Generation
2021
16th International Conference on Document Analysis and Recognition
12917
525-537
Jaume Gibert; Ernest Valveny; Horst Bunke
Graph of Words Embedding for Molecular Structure-Activity Relationship Analysis
2010
15th Iberoamerican Congress on Pattern Recognition
6419
30–37
Josep Llados; Gemma Sanchez
Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach
2004
International Journal of Pattern Recognition and Artificial Intelligence
18
455–473
Hana Jarraya; Oriol Ramos Terrades; Josep Llados
Graph Embedding through Probabilistic Graphical Model applied to Symbolic Graphs
2017
8th Iberian Conference on Pattern Recognition and Image Analysis
Jaume Gibert; Ernest Valveny; Horst Bunke
Graph Embedding in Vector Spaces by Node Attribute Statistics
2012
Pattern Recognition
45
3072-3083
Jaume Gibert; Ernest Valveny
Graph Embedding based on Nodes Attributes Representatives and a Graph of Words Representation.
2010
13th International worshop on structural and syntactic pattern recognition and 8th international worshop on statistical pattern recognition
6218
223–232
Ali Furkan Biten; Lluis Gomez; Marçal Rusiñol; Dimosthenis Karatzas
Good News, Everyone! Context driven entity-aware captioning for news images
2019
32nd IEEE Conference on Computer Vision and Pattern Recognition
12458-12467
Marçal Rusiñol
Geometric and Structural-based Symbol Spotting. Application to Focused Retrieval in Graphic Document Collections
2009
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Mathieu Nicolas Delalandre; Ernest Valveny; Tony Pridmore; Dimosthenis Karatzas
Generation of Synthetic Documents for Performance Evaluation of Symbol Recognition & Spotting Systems
2010
International Journal on Document Analysis and Recognition
13
187-207
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