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Author (down) Oriol Ramos Terrades; Ernest Valveny; Salvatore Tabbone edit  openurl
  Title On the Combination of Ridgelets Descriptors for Symbol Recognition Type Book Chapter
  Year 2008 Publication Graphics Recognition: Recent Advances and New Oportunities, W. Lius, J. Llados, J.M. Ogier, LNCS 5046:104–113 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RVT2008 Serial 984  
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Author (down) Oriol Ramos Terrades; Ernest Valveny; Salvatore Tabbone edit  doi
openurl 
  Title Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework Type Journal Article
  Year 2009 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence Abbreviated Journal TPAMI  
  Volume 31 Issue 9 Pages 1630–1644  
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  Abstract The combination of the output of classifiers has been one of the strategies used to improve classification rates in general purpose classification systems. Some of the most common approaches can be explained using the Bayes' formula. In this paper, we tackle the problem of the combination of classifiers using a non-Bayesian probabilistic framework. This approach permits us to derive two linear combination rules that minimize misclassification rates under some constraints on the distribution of classifiers. In order to show the validity of this approach we have compared it with other popular combination rules from a theoretical viewpoint using a synthetic data set, and experimentally using two standard databases: the MNIST handwritten digit database and the GREC symbol database. Results on the synthetic data set show the validity of the theoretical approach. Indeed, results on real data show that the proposed methods outperform other common combination schemes.  
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  ISSN 0162-8828 ISBN Medium  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RVT2009 Serial 1220  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Line Detection Using Ridgelets Transform for Graphic Symbol Representation Type Miscellaneous
  Year 2003 Publication In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:829–837 Abbreviated Journal  
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  Address Springer-Verlag  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2003a Serial 403  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Indexing Technical Symbols Using Ridgelets Transform Type Miscellaneous
  Year 2003 Publication Proceedings of the Fifth International Workshop on Graphics Recognition (GREC´03), 202–211 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2003c Serial 405  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Radon Transform for Lineal Symbol Representation Type Miscellaneous
  Year 2003 Publication Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 195–199 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2003d Serial 406  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Indexing Technical Symbols Using Ridgelets Transform Type Miscellaneous
  Year 2004 Publication Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 Abbreviated Journal  
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  Address Springer-Verlag  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2004c Serial 503  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  doi
openurl 
  Title A new use of the ridgelets transform for describing linear singularities in images Type Journal Article
  Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 27 Issue 6 Pages 587–596  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2006a Serial 635  
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Author (down) Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Local Norm Features based on ridgelets Transform Type Miscellaneous
  Year 2005 Publication 8th International Conference on Document Analysis and Recognition (ICDAR´05), 700–704 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2005d Serial 642  
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Author (down) Oriol Ramos Terrades; Alejandro Hector Toselli; Nicolas Serrano; Veronica Romero; Enrique Vidal; Alfons Juan edit  doi
openurl 
  Title Interactive layout analysis and transcription systems for historic handwritten documents Type Conference Article
  Year 2010 Publication 10th ACM Symposium on Document Engineering Abbreviated Journal  
  Volume Issue Pages 219–222  
  Keywords Handwriting recognition; Interactive predictive processing; Partial supervision; Interactive layout analysis  
  Abstract The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents, waiting to be classified and finally transcribed into a textual electronic format (such as ASCII or PDF). Nevertheless, most of the available fully-automatic applications addressing this task are far from being perfect and heavy and inefficient human intervention is often required to check and correct the results of such systems. In contrast, multimodal interactive-predictive approaches may allow the users to participate in the process helping the system to improve the overall performance. With this in mind, two sets of recent advances are introduced in this work: a novel interactive method for text block detection and two multimodal interactive handwritten text transcription systems which use active learning and interactive-predictive technologies in the recognition process.  
  Address Manchester, United Kingdom  
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  Area Expedition Conference ACM  
  Notes DAG Approved no  
  Call Number Admin @ si @RTS2010 Serial 1857  
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Author (down) Oriol Ramos Terrades; Albert Berenguel; Debora Gil edit   pdf
url  openurl
  Title A flexible outlier detector based on a topology given by graph communities Type Miscellaneous
  Year 2020 Publication Arxiv Abbreviated Journal  
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  Abstract Outlier, or anomaly, detection is essential for optimal performance of machine learning methods and statistical predictive models. It is not just a technical step in a data cleaning process but a key topic in many fields such as fraudulent document detection, in medical applications and assisted diagnosis systems or detecting security threats. In contrast to population-based methods, neighborhood based local approaches are simple flexible methods that have the potential to perform well in small sample size unbalanced problems. However, a main concern of local approaches is the impact that the computation of each sample neighborhood has on the method performance. Most approaches use a distance in the feature space to define a single neighborhood that requires careful selection of several parameters. This work presents a local approach based on a local measure of the heterogeneity of sample labels in the feature space considered as a topological manifold. Topology is computed using the communities of a weighted graph codifying mutual nearest neighbors in the feature space. This way, we provide with a set of multiple neighborhoods able to describe the structure of complex spaces without parameter fine tuning. The extensive experiments on real-world data sets show that our approach overall outperforms, both, local and global strategies in multi and single view settings.  
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  Notes IAM; DAG; 600.139; 600.145; 600.140; 600.121 Approved no  
  Call Number Admin @ si @ RBG2020 Serial 3475  
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Author (down) Oriol Ramos Terrades; Albert Berenguel; Debora Gil edit   pdf
doi  openurl
  Title A Flexible Outlier Detector Based on a Topology Given by Graph Communities Type Journal Article
  Year 2022 Publication Big Data Research Abbreviated Journal BDR  
  Volume 29 Issue Pages 100332  
  Keywords Classification algorithms; Detection algorithms; Description of feature space local structure; Graph communities; Machine learning algorithms; Outlier detectors  
  Abstract Outlier detection is essential for optimal performance of machine learning methods and statistical predictive models. Their detection is especially determinant in small sample size unbalanced problems, since in such settings outliers become highly influential and significantly bias models. This particular experimental settings are usual in medical applications, like diagnosis of rare pathologies, outcome of experimental personalized treatments or pandemic emergencies. In contrast to population-based methods, neighborhood based local approaches compute an outlier score from the neighbors of each sample, are simple flexible methods that have the potential to perform well in small sample size unbalanced problems. A main concern of local approaches is the impact that the computation of each sample neighborhood has on the method performance. Most approaches use a distance in the feature space to define a single neighborhood that requires careful selection of several parameters, like the number of neighbors.
This work presents a local approach based on a local measure of the heterogeneity of sample labels in the feature space considered as a topological manifold. Topology is computed using the communities of a weighted graph codifying mutual nearest neighbors in the feature space. This way, we provide with a set of multiple neighborhoods able to describe the structure of complex spaces without parameter fine tuning. The extensive experiments on real-world and synthetic data sets show that our approach outperforms, both, local and global strategies in multi and single view settings.
 
  Address August 28, 2022  
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  Notes DAG; IAM; 600.140; 600.121; 600.139; 600.145; 600.159 Approved no  
  Call Number Admin @ si @ RBG2022a Serial 3718  
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Author (down) Oriol Ramos Terrades edit  openurl
  Title Descripcio i classificacio de simbols tecnics usant la transformada de crestetes Type Report
  Year 2003 Publication CVC Technical Report #74 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ Ram2003 Serial 517  
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Author (down) Oriol Ramos Terrades edit  openurl
  Title Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition Type Book Whole
  Year 2006 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2 Abbreviated Journal  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher Place of Publication Editor Salvatore Antoine Tabbone;Ernest Valveny  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ Ram2006 Serial 713  
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Author (down) Oriol Pujol; Sergio Escalera; Petia Radeva edit  openurl
  Title An Incremental Node Embedding Technique for Error Correcting Output Codes Type Journal
  Year 2008 Publication Pattern Recognition Abbreviated Journal PR  
  Volume 41 Issue 2 Pages 713–725  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PER2008 Serial 942  
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Author (down) Oriol Pujol; Petia Radeva; Jordi Vitria; J. Mauri edit  openurl
  Title Adaboost to Classify Plaque Appearance in IVUS Images Type Miscellaneous
  Year 2004 Publication Progress in Pattern Recognition, Image Analysis and Applications, LNCS 3287:629–636 Abbreviated Journal  
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  Address Puebla (Mexico)  
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  Notes OR;MILAB;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PRV2004 Serial 472  
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