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Author Agnes Borras edit  openurl
  Title High-Level Clothes Description Based on Colour-Texture Features. Type Miscellaneous
  Year 2002 Publication Director: J. Llados, Master Thesis. Abbreviated Journal  
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  Notes Approved no  
  Call Number DAG @ dag @ Bor2002 Serial 322  
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Author Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell edit   pdf
openurl 
  Title High-Level Clothes Description Based on Colour-Texture and Structural Features Type Conference Article
  Year 2003 Publication 1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract (up)  
  Address Palma de Mallorca  
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  Publisher Place of Publication Editor  
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  Notes DAG;CIC Approved no  
  Call Number CAT @ cat @ BTL2003b Serial 369  
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Author Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; A. Rodriguez edit  openurl
  Title Biometric Recognition Based on Line Shape Descriptors Type Conference Article
  Year 2005 Publication Sixth IAPR International Workshop on Graphics Recognition (GREC 2005) Abbreviated Journal  
  Volume Issue Pages 335–344  
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  Address Hong Kong (China)  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ CSL2005 Serial 596  
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Author Agnes Borras; Josep Llados edit   pdf
openurl 
  Title A Multi-Scale Layout Descriptor Based on Delaunay Triangulation for Image Retrieval Type Conference Article
  Year 2008 Publication 3rd International Conference on Computer Vision Theory and Applications VISAPP (2) 2008 Abbreviated Journal  
  Volume 2 Issue Pages 139-144  
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  Address Funchal, Madeira (Portugal)  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ BoL2008 Serial 981  
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Author Agnes Borras; Josep Llados edit  isbn
openurl 
  Title Corest: A measure of color and space stability to detect salient regions according to human criteria Type Conference Article
  Year 2009 Publication 5th International Conference on Computer Vision Theory and Applications Abbreviated Journal  
  Volume Issue Pages 204-209  
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  Address Lisboa, Portugal  
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  ISSN ISBN 978-989-8111-69-2 Medium  
  Area Expedition Conference VISAPP  
  Notes DAG Approved no  
  Call Number DAG @ dag @ BoL2009 Serial 1225  
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Author Marta Diez-Ferrer; Debora Gil; Elena Carreño; Susana Padrones; Samantha Aso; Vanesa Vicens; Noelia Cubero de Frutos; Rosa Lopez Lisbona; Carles Sanchez; Agnes Borras; Antoni Rosell edit   pdf
url  openurl
  Title Positive Airway Pressure-Enhanced CT to Improve Virtual Bronchoscopic Navigation Type Journal Article
  Year 2017 Publication European Respiratory Journal Abbreviated Journal ERJ  
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  Notes IAM Approved no  
  Call Number Admin @ si @ DGC2017b Serial 3632  
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Author Marta Diez-Ferrer; Debora Gil; Elena Carreño; Susana Padrones; Samantha Aso; Vanesa Vicens; Cubero Noelia; Rosa Lopez Lisbona; Carles Sanchez; Agnes Borras; Antoni Rosell edit  url
openurl 
  Title Positive Airway Pressure-Enhanced CT to Improve Virtual Bronchoscopic Navigation Type Journal Article
  Year 2016 Publication Chest Journal Abbreviated Journal CHEST  
  Volume 150 Issue 4 Pages 1003A  
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  Notes IAM; 600.096; 600.075 Approved no  
  Call Number Admin @ si @ DGC2016 Serial 3099  
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Author Debora Gil; Antonio Esteban Lansaque; Agnes Borras; Esmitt Ramirez; Carles Sanchez edit   pdf
url  doi
openurl 
  Title Intraoperative Extraction of Airways Anatomy in VideoBronchoscopy Type Journal Article
  Year 2020 Publication IEEE Access Abbreviated Journal ACCESS  
  Volume 8 Issue Pages 159696 - 159704  
  Keywords  
  Abstract (up) A main bottleneck in bronchoscopic biopsy sampling is to efficiently reach the lesion navigating across bronchial levels. Any guidance system should be able to localize the scope position during the intervention with minimal costs and alteration of clinical protocols. With the final goal of an affordable image-based guidance, this work presents a novel strategy to extract and codify the anatomical structure of bronchi, as well as, the scope navigation path from videobronchoscopy. Experiments using interventional data show that our method accurately identifies the bronchial structure. Meanwhile, experiments using simulated data verify that the extracted navigation path matches the 3D route.  
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  Notes IAM; 600.139; 600.145 Approved no  
  Call Number Admin @ si @ GEB2020 Serial 3467  
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Author Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez edit   pdf
url  openurl
  Title Biometric Recognition Based on Line Shape Descriptors Type Book Chapter
  Year 2006 Publication Lecture Notes in Computer Science Abbreviated Journal  
  Volume 3926 Issue Pages 346–357,  
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  Abstract (up) Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques.  
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  Publisher Springer Link Place of Publication Editor  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ CSL2006 Serial 685  
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Author Debora Gil; David Roche; Agnes Borras; Jesus Giraldo edit  doi
openurl 
  Title Terminating Evolutionary Algorithms at their Steady State Type Journal Article
  Year 2015 Publication Computational Optimization and Applications Abbreviated Journal COA  
  Volume 61 Issue 2 Pages 489-515  
  Keywords Evolutionary algorithms; Termination condition; Steady state; Differential evolution  
  Abstract (up) Assessing the reliability of termination conditions for evolutionary algorithms (EAs) is of prime importance. An erroneous or weak stop criterion can negatively affect both the computational effort and the final result. We introduce a statistical framework for assessing whether a termination condition is able to stop an EA at its steady state, so that its results can not be improved anymore. We use a regression model in order to determine the requirements ensuring that a measure derived from EA evolving population is related to the distance to the optimum in decision variable space. Our framework is analyzed across 24 benchmark test functions and two standard termination criteria based on function fitness value in objective function space and EA population decision variable space distribution for the differential evolution (DE) paradigm. Results validate our framework as a powerful tool for determining the capability of a measure for terminating EA and the results also identify the decision variable space distribution as the best-suited for accurately terminating DE in real-world applications.  
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  Publisher Springer US Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN 0926-6003 ISBN Medium  
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  Notes IAM; 600.044; 605.203; 600.060; 600.075 Approved no  
  Call Number Admin @ si @ GRB2015 Serial 2560  
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