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Author |
Sergio Escalera; Alicia Fornes; Oriol Pujol; Josep Llados; Petia Radeva |

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Title |
Multi-class Binary Object Categorization using Blurred Shape Models |
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Conference Article |
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Year |
2007 |
Publication |
Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern |
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Volume |
4756 |
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Pages |
773–782 |
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978-3-540-76724-4 |
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CIARP |
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Notes |
MILAB; DAG;HuPBA |
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no |
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Call Number |
BCNPCL @ bcnpcl @ EFP2007 |
Serial |
911 |
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Author |
Liu Wenyin; Josep Llados; Jean-Marc Ogier |

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Title |
Graphics Recognition. Recent Advances and New Opportunities. |
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Book Whole |
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Year |
2008 |
Publication |
7th International Workshop, Selected Papers, |
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Volume |
5046 |
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Curitiba (Brazil) |
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ISBN  |
978-3-540-88184-1 |
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GREC |
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DAG |
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no |
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Call Number |
DAG @ dag @ WLO2008 |
Serial |
1012 |
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Author |
Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; Horst Bunke |


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Title |
A Recursive Embedding Approach to Median Graph Computation |
Type |
Conference Article |
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Year |
2009 |
Publication |
7th IAPR – TC–15 Workshop on Graph–Based Representations in Pattern Recognition |
Abbreviated Journal |
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Volume |
5534 |
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Pages |
113–123 |
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Abstract |
The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely complex. Several approaches have been presented up to now based on different strategies. In this paper we present a new approximate recursive algorithm for median graph computation based on graph embedding into vector spaces. Preliminary experiments on three databases show that this new approach is able to obtain better medians than the previous existing approaches. |
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Venice, Italy |
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Publisher |
Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-02123-7 |
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GBR |
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DAG |
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no |
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Call Number |
DAG @ dag @ FKV2009 |
Serial |
1173 |
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Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa |


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Title |
Median Graph Computation by means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subraph |
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Conference Article |
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Year |
2009 |
Publication |
4th Iberian Conference on Pattern Recognition and Image Analysis |
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Volume |
5524 |
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Pages |
346–353 |
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Abstract |
Given a set of graphs, the median graph has been theoretically presented as a useful concept to infer a representative of the set. However, the computation of the median graph is a highly complex task and its practical application has been very limited up to now. In this work we present a new genetic algorithm for the median graph computation. A set of experiments on real data, where none of the existing algorithms for the median graph computation could be applied up to now due to their computational complexity, show that we obtain good approximations of the median graph. Finally, we use the median graph in a real nearest neighbour classification showing that it leaves the box of the only-theoretical concepts and demonstrating, from a practical point of view, that can be a useful tool to represent a set of graphs. |
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Address |
Póvoa de Varzim, Portugal |
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Springer Berlin Heidelberg |
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ISSN |
0302-9743 |
ISBN  |
978-3-642-02171-8 |
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IbPRIA |
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DAG |
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no |
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Call Number |
DAG @ dag @ FVS2009c |
Serial |
1174 |
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Author |
Albert Gordo; Ernest Valveny |


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Title |
The diagonal split: A pre-segmentation step for page layout analysis & classification |
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Conference Article |
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Year |
2009 |
Publication |
4th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
5524 |
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Pages |
290–297 |
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Abstract |
Document classification is an important task in all the processes related to document storage and retrieval. In the case of complex documents, structural features are needed to achieve a correct classification. Unfortunately, physical layout analysis is error prone. In this paper we present a pre-segmentation step based on a divide & conquer strategy that can be used to improve the page segmentation results, independently of the segmentation algorithm used. This pre-segmentation step is evaluated in classification and retrieval using the selective CRLA algorithm for layout segmentation together with a clustering based on the voronoi area diagram, and tested on two different databases, MARG and Girona Archives. |
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Address |
Póvoa de Varzim, Portugal |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-02171-8 |
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IbPRIA |
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DAG |
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no |
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Call Number |
DAG @ dag @ Gov2009b |
Serial |
1176 |
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Permanent link to this record |
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Author |
Miquel Ferrer; Ernest Valveny; F. Serratosa; I. Bardaji; Horst Bunke |


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Title |
Graph-based k-means clustering: A comparison of the set versus the generalized median graph |
Type |
Conference Article |
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Year |
2009 |
Publication |
13th International Conference on Computer Analysis of Images and Patterns |
Abbreviated Journal |
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Volume |
5702 |
Issue |
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Pages |
342–350 |
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Abstract |
In this paper we propose the application of the generalized median graph in a graph-based k-means clustering algorithm. In the graph-based k-means algorithm, the centers of the clusters have been traditionally represented using the set median graph. We propose an approximate method for the generalized median graph computation that allows to use it to represent the centers of the clusters. Experiments on three databases show that using the generalized median graph as the clusters representative yields better results than the set median graph. |
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Address |
Münster, Germany |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-03766-5 |
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Conference |
CAIP |
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DAG |
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no |
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Call Number |
DAG @ dag @ FVS2009d |
Serial |
1219 |
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Permanent link to this record |
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Author |
Sergio Escalera; Alicia Fornes; Oriol Pujol; Petia Radeva |


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Title |
Multi-class Binary Symbol Classification with Circular Blurred Shape Models |
Type |
Conference Article |
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Year |
2009 |
Publication |
15th International Conference on Image Analysis and Processing |
Abbreviated Journal |
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Volume |
5716 |
Issue |
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Pages |
1005–1014 |
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Abstract |
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we present the Circular Blurred Shape Model descriptor. This descriptor encodes the arrangement information of object parts in a correlogram structure. A prior blurring degree defines the level of distortion allowed to the symbol. Moreover, we learn the new feature space using a set of Adaboost classifiers, which are combined in the Error-Correcting Output Codes framework to deal with the multi-class categorization problem. The presented work has been validated over different multi-class data sets, and compared to the state-of-the-art descriptors, showing significant performance improvements. |
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Address |
Salerno, Italy |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-04145-7 |
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Conference |
ICIAP |
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Notes |
MILAB;HuPBA;DAG |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ EFP2009c |
Serial |
1186 |
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Permanent link to this record |
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Author |
L.Tarazon; D. Perez; N. Serrano; V. Alabau; Oriol Ramos Terrades; A. Sanchis; A. Juan |


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Title |
Confidence Measures for Error Correction in Interactive Transcription of Handwritten Text |
Type |
Conference Article |
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Year |
2009 |
Publication |
15th International Conference on Image Analysis and Processing |
Abbreviated Journal |
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Volume |
5716 |
Issue |
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Pages |
567-574 |
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Abstract |
An effective approach to transcribe old text documents is to follow an interactive-predictive paradigm in which both, the system is guided by the human supervisor, and the supervisor is assisted by the system to complete the transcription task as efficiently as possible. In this paper, we focus on a particular system prototype called GIDOC, which can be seen as a first attempt to provide user-friendly, integrated support for interactive-predictive page layout analysis, text line detection and handwritten text transcription. More specifically, we focus on the handwriting recognition part of GIDOC, for which we propose the use of confidence measures to guide the human supervisor in locating possible system errors and deciding how to proceed. Empirical results are reported on two datasets showing that a word error rate not larger than a 10% can be achieved by only checking the 32% of words that are recognised with less confidence. |
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Address |
Vietri sul Mare, Italy |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-04145-7 |
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ICIAP |
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Notes |
DAG |
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no |
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Call Number |
Admin @ si @ TPS2009 |
Serial |
1871 |
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Permanent link to this record |
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Author |
Salim Jouili; Salvatore Tabbone; Ernest Valveny |


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Title |
Comparing Graph Similarity Measures for Graphical Recognition |
Type |
Book Chapter |
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Year |
2010 |
Publication |
Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers |
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Volume |
6020 |
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37-48 |
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In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. |
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Springer Berlin Heidelberg |
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ISSN |
0302-9743 |
ISBN  |
978-3-642-13727-3 |
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Conference |
GREC |
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Notes |
DAG |
Approved |
no |
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Call Number |
Admin @ si @ JTV2010 |
Serial |
2404 |
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Permanent link to this record |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |

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Title |
Symbol-independent writer identification in old handwritten music scores |
Type |
Conference Article |
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Year |
2009 |
Publication |
In proceedings of 8th IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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Volume |
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Pages |
186–197 |
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Address |
La Rochelle, France |
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Springer Berlin Heidelberg |
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0302-9743 |
ISBN  |
978-3-642-13727-3 |
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Conference |
GREC |
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Notes |
DAG |
Approved |
no |
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Call Number |
DAG @ dag @ FLS2009a |
Serial |
1222 |
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Permanent link to this record |