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Author |
Dimosthenis Karatzas |
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Title |
Detecting Gradients in Text Images Using the Hough Transform |
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Conference Article |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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245–252 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ Kar2008 |
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1062 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
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Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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347–353 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Nara (Japan) |
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DAG |
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DAG @ dag @ FLS2008b |
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1078 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title |
Approximate Convex Hulls Family for One-Class Cassification |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Workshop on Multiple Classifier Systems |
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6713 |
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106-115 |
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In this work, a new method for one-class classification based on the Convex Hull geometric structure is proposed. The new method creates a family of convex hulls able to fit the geometrical shape of the training points. The increased computational cost due to the creation of the convex hull in multiple dimensions is circumvented using random projections. This provides an approximation of the original structure with multiple bi-dimensional views. In the projection planes, a mechanism for noisy points rejection has also been elaborated and evaluated. Results show that the approach performs considerably well with respect to the state the art in one-class classification. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoli, Italy |
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Springer Berlin Heidelberg |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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0302-9743 |
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978-3-642-21556-8 |
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MILAB;HuPBA |
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no |
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Admin @ si @ CPR2011b |
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1761 |
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Author |
Laura Lopez-Fuentes; Sebastia Massanet; Manuel Gonzalez-Hidalgo |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Image vignetting reduction via a maximization of fuzzy entropy |
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Conference Article |
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2017 |
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IEEE International Conference on Fuzzy Systems |
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In many computer vision applications, vignetting is an undesirable effect which must be removed in a pre-processing step. Recently, an algorithm for image vignetting correction has been presented by means of a minimization of log-intensity entropy. This method relies on an increase of the entropy of the image when it is affected with vignetting. In this paper, we propose a novel algorithm to reduce image vignetting via a maximization of the fuzzy entropy of the image. Fuzzy entropy quantifies the fuzziness degree of a fuzzy set and its value is also modified by the presence of vignetting. The experimental results show that this novel algorithm outperforms in most cases the algorithm based on the minimization of log-intensity entropy both from the qualitative and the quantitative point of view. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoles; Italia; July 2017 |
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FUZZ-IEEE |
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LAMP; 600.120 |
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Admin @ si @ LMG2017 |
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2972 |
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Author |
Jaume Gibert; Ernest Valveny; Oriol Ramos Terrades; Horst Bunke |
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Title |
Multiple Classifiers for Graph of Words Embedding |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
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Volume |
6713 |
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36-45 |
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During the last years, there has been an increasing interest in applying the multiple classifier framework to the domain of structural pattern recognition. Constructing base classifiers when the input patterns are graph based representations is not an easy problem. In this work, we make use of the graph embedding methodology in order to construct different feature vector representations for graphs. The graph of words embedding assigns a feature vector to every graph by counting unary and binary relations between node representatives and combining these pieces of information into a single vector. Selecting different node representatives leads to different vectorial representations and therefore to different base classifiers that can be combined. We experimentally show how this methodology significantly improves the classification of graphs with respect to single base classifiers. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoles, Italy |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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978-3-642-21556-8 |
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DAG |
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Admin @ si @GVR2011 |
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1745 |
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Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
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Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International conference on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
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227-236 |
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Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoles, Italy |
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Springer-Verlag Berlin Heidelberg |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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978-3-642-21556-8 |
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MCS |
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MILAB; OR;HuPBA;MV |
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no |
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Admin @ si @ BPB2011a |
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1771 |
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Author |
Eloi Puertas; Sergio Escalera; Oriol Pujol |
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Title |
Multi-Class Multi-Scale Stacked Sequential Learning |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
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6713 |
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197-206 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoles, Italy |
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Springer |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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MCS |
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HuPBA;MILAB |
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no |
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Admin @ si @ PEP2011b |
Serial |
1772 |
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Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
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Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
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Pages |
227-236 |
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Abstract |
Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Napoles, Italy |
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Springer-Verlag Berlin, Heidelberg |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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0302-9743 |
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978-3-642-21556-8 |
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MCS |
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MILAB; OR;HuPBA;MV |
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no |
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Admin @ si @ BPB2011b |
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1887 |
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Author |
Vacit Oguz Yazici; Joost Van de Weijer; Arnau Ramisa |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Color Naming for Multi-Color Fashion Items |
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Conference Article |
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Year |
2018 |
Publication |
6th World Conference on Information Systems and Technologies |
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747 |
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64-73 |
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Deep learning; Color; Multi-label |
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There exists a significant amount of research on color naming of single colored objects. However in reality many fashion objects consist of multiple colors. Currently, searching in fashion datasets for multi-colored objects can be a laborious task. Therefore, in this paper we focus on color naming for images with multi-color fashion items. We collect a dataset, which consists of images which may have from one up to four colors. We annotate the images with the 11 basic colors of the English language. We experiment with several designs for deep neural networks with different losses. We show that explicitly estimating the number of colors in the fashion item leads to improved results. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Naples; March 2018 |
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WORLDCIST |
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LAMP; 600.109; 601.309; 600.120 |
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Admin @ si @ YWR2018 |
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3161 |
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Author |
A. M. Here; B. C. Lopez; Debora Gil; J. J. Camarero; Jordi Martinez-Vilalta |
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Title |
A new software to analyse wood anatomical features in conifer species |
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Conference Article |
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2013 |
Publication |
International Symposium on Wood Structure in Plant Biology and Ecology |
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International Symposium on Wood Structure in Plant Biology and Ecology |
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Naples; Italy; March 2013 |
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WSE |
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IAM |
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no |
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Admin @ si @ HLG2013 |
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2303 |
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Author |
Fernando Barrera; Felipe Lumbreras; Cristhian Aguilera; Angel Sappa |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Planar-Based Multispectral Stereo |
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2012 |
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11th Quantitative InfraRed Thermography |
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Naples, Italy |
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QIRT |
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ADAS |
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Admin @ si @ BLA2012 |
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2016 |
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Author |
Cristhian Aguilera; Fernando Barrera; Angel Sappa; Ricardo Toledo |
![download PDF file pdf](img/file_PDF.gif)
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Title |
A Novel SIFT-Like-Based Approach for FIR-VS Images Registration |
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Conference Article |
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2012 |
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11th Quantitative InfraRed Thermography |
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Naples, Italy |
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QIRT |
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ADAS; TV |
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Admin @ si @ ABS2012 |
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2017 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Incremental Subspace Learning for Cognitive Visual Processes |
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Conference Article |
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2007 |
Publication |
Advances in Brain, Vision and Artificial Intelligence, 2nd International Symposium |
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4729 |
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214–223 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Naples (Italy) |
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BVAI’07 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ RaV2007b |
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901 |
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Author |
Xavier Baro; Jordi Vitria |
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Title |
Evolutionary Object Detection by Means of Naive Bayes Models Estimation |
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Book Chapter |
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2008 |
Publication |
Applications of Evolutionary Computing. EvoWorkshops |
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4974 |
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235–244 |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Naples (Italy) |
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M. Giacobini |
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OR;HuPBA;MV |
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no |
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BCNPCL @ bcnpcl @ BaV2008a |
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976 |
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Author |
Christophe Rigaud; Clement Guerin |
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Title |
Localisation contextuelle des personnages de bandes dessinées |
Type |
Conference Article |
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2014 |
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Colloque International Francophone sur l'Écrit et le Document |
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Abstract |
Les auteurs proposent une méthode de localisation des personnages dans des cases de bandes dessinées en s'appuyant sur les caractéristiques des bulles de dialogue. L'évaluation montre un taux de localisation des personnages allant jusqu'à 65%. |
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Address ![sorted by Address field, descending order (down)](img/sort_desc.gif) |
Nancy; Francia; March 2014 |
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CIFED |
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Notes |
DAG; 600.077 |
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Admin @ si @ RiG2014 |
Serial |
2481 |
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Permanent link to this record |