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Author Ivan Huerta; Ariel Amato; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title Fusing Edge Cues to Handle Colour Problems in Image Segmentation Type Book Chapter
  Year 2008 Publication Articulated Motion and Deformable Objects, 5th International Conference Abbreviated Journal  
  Volume (up) 5098 Issue Pages 279–288  
  Keywords  
  Abstract  
  Address Port d'Andratx (Mallorca)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference AMDO  
  Notes ISE Approved no  
  Call Number ISE @ ise @ HAG2008 Serial 973  
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Author Pau Baiget; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms Type Book Chapter
  Year 2008 Publication Articulated Motion and Deformable Objects, 5th International Conference AMDO 2008, Abbreviated Journal  
  Volume (up) 5098 Issue Pages 299-308  
  Keywords  
  Abstract  
  Address Port d'Andratx (Mallorca)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ BRG2008 Serial 974  
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Author Bhaskar Chakraborty; Marco Pedersoli; Jordi Gonzalez edit  openurl
  Title View-Invariant Human Action Detection using Component-Wise HMM of Body Parts Type Book Chapter
  Year 2008 Publication Articulated Motion and Deformable Objects, 5th International Conference Abbreviated Journal  
  Volume (up) 5098 Issue Pages 208–217  
  Keywords  
  Abstract  
  Address Port d'Andratx (Mallorca)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference AMDO  
  Notes ISE Approved no  
  Call Number ISE @ ise @ CPG2008 Serial 975  
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Author Carme Julia; Angel Sappa; Felipe Lumbreras; Antonio Lopez edit   pdf
openurl 
  Title Recovery of Surface Normals and Reflectance from Different Lighting Conditions Type Conference Article
  Year 2008 Publication 5th International Conference on Image Analysis and Recognition Abbreviated Journal  
  Volume (up) 5112 Issue Pages 315–325  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ JSL2008c Serial 1014  
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Author Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. Mauri; Petia Radeva edit  openurl
  Title Robust Image-based IVUS Pullbacks Gating Type Book Chapter
  Year 2008 Publication Proceedings 11th International ConferenceMedical Image Computing and Computer–Assisted Intervention Abbreviated Journal  
  Volume (up) 5242 Issue Pages 518–525  
  Keywords  
  Abstract  
  Address NY (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference MICCAI  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ GPR2008a Serial 1037  
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Author Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat edit   pdf
openurl 
  Title Nightime Vehicle Detecion for Intelligent Headlight Control Type Conference Article
  Year 2008 Publication Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, Abbreviated Journal  
  Volume (up) 5259 Issue Pages 113–124  
  Keywords Intelligent Headlights; vehicle detection  
  Abstract  
  Address Juan-les-Pins, France  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ACIVS  
  Notes ADAS;CIC Approved no  
  Call Number ADAS @ adas @ LHB2008a Serial 1098  
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Author Eduard Vazquez; Joost Van de Weijer; Ramon Baldrich edit  openurl
  Title Image Segmentation in the Presence of Shadows and Highligts Type Conference Article
  Year 2008 Publication 10th European Conference on Computer Vision Abbreviated Journal  
  Volume (up) 5305 Issue Pages 1–14  
  Keywords  
  Abstract  
  Address Marseille (France)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ECCV  
  Notes CAT;CIC Approved no  
  Call Number CAT @ cat @ VVB2008b Serial 1013  
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Author Miquel Ferrer; Ernest Valveny; F. Serratosa; Horst Bunke edit  openurl
  Title Exact Median Graph Computation via Graph Embedding Type Conference Article
  Year 2008 Publication 12th International Workshop on Structural and Syntactic Pattern Recognition Abbreviated Journal  
  Volume (up) 5324 Issue Pages 15–24  
  Keywords  
  Abstract  
  Address Orlando – Florida (USA)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference SSPR  
  Notes DAG Approved no  
  Call Number DAG @ dag @ FVS2008b Serial 1076  
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Author Bogdan Raducanu; Fadi Dornaika edit  openurl
  Title Dynamic Vs. Static Recognition of Facial Expressions Type Book Chapter
  Year 2008 Publication Ambient Intelligence. European Conference Abbreviated Journal  
  Volume (up) 5355 Issue Pages 13–25  
  Keywords  
  Abstract  
  Address Nuremberg (Germany)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Rabuñal  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference AMI  
  Notes OR; MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaD2008 Serial 1035  
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Author Sergio Escalera; Oriol Pujol; Petia Radeva edit  doi
isbn  openurl
  Title Recoding Error-Correcting Output Codes Type Conference Article
  Year 2009 Publication 8th International Workshop of Multiple Classifier Systems Abbreviated Journal  
  Volume (up) 5519 Issue Pages 11–21  
  Keywords  
  Abstract One of the most widely applied techniques to deal with multi- class categorization problems is the pairwise voting procedure. Recently, this classical approach has been embedded in the Error-Correcting Output Codes framework (ECOC). This framework is based on a coding step, where a set of binary problems are learnt and coded in a matrix, and a decoding step, where a new sample is tested and classified according to a comparison with the positions of the coded matrix. In this paper, we present a novel approach to redefine without retraining, in a problem-dependent way, the one-versus-one coding matrix so that the new coded information increases the generalization capability of the system. Moreover, the final classification can be tuned with the inclusion of a weighting matrix in the decoding step. The approach has been validated over several UCI Machine Learning repository data sets and two real multi-class problems: traffic sign and face categorization. The results show that performance improvements are obtained when comparing the new approach to one of the best ECOC designs (one-versus-one). Furthermore, the novel methodology obtains at least the same performance than the one-versus-one ECOC design.  
  Address Reykjavik (Iceland)  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02325-5 Medium  
  Area Expedition Conference MCS  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EPR2009d Serial 1190  
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Author Oriol Pujol; Eloi Puertas; Carlo Gatta edit  doi
isbn  openurl
  Title Multi-scale Stacked Sequential Learning Type Conference Article
  Year 2009 Publication 8th International Workshop of Multiple Classifier Systems Abbreviated Journal  
  Volume (up) 5519 Issue Pages 262–271  
  Keywords  
  Abstract One of the most widely used assumptions in supervised learning is that data is independent and identically distributed. This assumption does not hold true in many real cases. Sequential learning is the discipline of machine learning that deals with dependent data such that neighboring examples exhibit some kind of relationship. In the literature, there are different approaches that try to capture and exploit this correlation, by means of different methodologies. In this paper we focus on meta-learning strategies and, in particular, the stacked sequential learning approach. The main contribution of this work is two-fold: first, we generalize the stacked sequential learning. This generalization reflects the key role of neighboring interactions modeling. Second, we propose an effective and efficient way of capturing and exploiting sequential correlations that takes into account long-range interactions by means of a multi-scale pyramidal decomposition of the predicted labels. Additionally, this new method subsumes the standard stacked sequential learning approach. We tested the proposed method on two different classification tasks: text lines classification in a FAQ data set and image classification. Results on these tasks clearly show that our approach outperforms the standard stacked sequential learning. Moreover, we show that the proposed method allows to control the trade-off between the detail and the desired range of the interactions.  
  Address Reykjavik, Iceland  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02325-5 Medium  
  Area Expedition Conference MCS  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PPG2009 Serial 1260  
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Author Carlo Gatta; Juan Diego Gomez; Francesco Ciompi; Oriol Rodriguez-Leor; Petia Radeva edit  doi
isbn  openurl
  Title Toward robust myocardial blush grade estimation in contrast angiography Type Conference Article
  Year 2009 Publication 4th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume (up) 5524 Issue Pages 249–256  
  Keywords  
  Abstract The assessment of Myocardial Blush Grade after primary angioplasty is a precious diagnostic tool to understand if the patient needs further medication or the use of specifics drugs. Unfortunately, the assessment of MBG is difficult for non highly specialized staff. Experimental data show that there is poor correlation between MBG assessment of low and high specialized staff, thus reducing its applicability. This paper proposes a method able to achieve an objective measure of MBG, or a set of parameters that correlates with the MBG. The method tracks the blush area starting from just one single frame tagged by the physician. As a consequence, the blush area is kept isolated from contaminating phenomena such as diaphragm and arteries movements. We also present a method to extract four parameters that are expected to correlate with the MBG. Preliminary results show that the method is capable of extracting interesting information regarding the behavior of the myocardial perfusion.  
  Address Póvoa de Varzim, Portugal  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02171-8 Medium  
  Area Expedition Conference IbPRIA  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ GGC2009 Serial 1161  
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Author Francesco Ciompi; Oriol Pujol; Oriol Rodriguez-Leor; Carlo Gatta; Angel Serrano; Petia Radeva edit  doi
isbn  openurl
  Title Enhancing In-Vitro IVUS Data for Tissue Characterization Type Conference Article
  Year 2009 Publication 4th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume (up) 5524 Issue Pages 241–248  
  Keywords  
  Abstract Intravascular Ultrasound (IVUS) data validation is usually performed by comparing post-mortem (in-vitro) IVUS data and corresponding histological analysis of the tissue, obtaining a reliable ground truth. The main drawback of this method is the few number of available study cases due to the complex procedure of histological analysis. In this work we propose a novel semi-supervised approach to enhance the in-vitro training set by including examples from in-vivo coronary plaques data set. For this purpose, a Sequential Floating Forward Selection method is applied on in-vivo data and plaque characterization performances are evaluated by Leave-One-Patient-Out cross-validation technique. Supervised data inclusion improves global classification accuracy from 89.39% to 91.82%.  
  Address Póvoa de Varzim, Portugal  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02171-8 Medium  
  Area Expedition Conference IbPRIA  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ CPR2009a Serial 1162  
Permanent link to this record
 

 
Author Miquel Ferrer; Ernest Valveny; F. Serratosa edit  doi
isbn  openurl
  Title Median Graph Computation by means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subraph Type Conference Article
  Year 2009 Publication 4th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume (up) 5524 Issue Pages 346–353  
  Keywords  
  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.  
  Address Póvoa de Varzim, Portugal  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02171-8 Medium  
  Area Expedition Conference IbPRIA  
  Notes DAG Approved no  
  Call Number DAG @ dag @ FVS2009c Serial 1174  
Permanent link to this record
 

 
Author Albert Gordo; Ernest Valveny edit  doi
isbn  openurl
  Title The diagonal split: A pre-segmentation step for page layout analysis & classification Type Conference Article
  Year 2009 Publication 4th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume (up) 5524 Issue Pages 290–297  
  Keywords  
  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.  
  Address Póvoa de Varzim, Portugal  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-02171-8 Medium  
  Area Expedition Conference IbPRIA  
  Notes DAG Approved no  
  Call Number DAG @ dag @ Gov2009b Serial 1176  
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