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Author Cristina Sanchez Montes; Jorge Bernal; Ana Garcia Rodriguez; Henry Cordova; Gloria Fernandez Esparrach edit  url
openurl 
  Title Revisión de métodos computacionales de detección y clasificación de pólipos en imagen de colonoscopia Type Journal Article
  Year 2020 Publication Gastroenterología y Hepatología Abbreviated Journal GH  
  Volume 43 Issue (down) 4 Pages 222-232  
  Keywords  
  Abstract Computer-aided diagnosis (CAD) is a tool with great potential to help endoscopists in the tasks of detecting and histologically classifying colorectal polyps. In recent years, different technologies have been described and their potential utility has been increasingly evidenced, which has generated great expectations among scientific societies. However, most of these works are retrospective and use images of different quality and characteristics which are analysed off line. This review aims to familiarise gastroenterologists with computational methods and the particularities of endoscopic imaging, which have an impact on image processing analysis. Finally, the publicly available image databases, needed to compare and confirm the results obtained with different methods, are presented.  
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  Notes MV; Approved no  
  Call Number Admin @ si @ SBG2020 Serial 3404  
Permanent link to this record
 

 
Author Agata Lapedriza; Santiago Segui; David Masip; Jordi Vitria edit  openurl
  Title A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning Type Journal
  Year 2008 Publication Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, Abbreviated Journal  
  Volume 11 Issue (down) 3-4 Pages 299-308  
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  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
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  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ LSM2008 Serial 996  
Permanent link to this record
 

 
Author Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition Type Journal
  Year 2008 Publication Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications Abbreviated Journal  
  Volume 11 Issue (down) 3-4 Pages 259–268  
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  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008c Serial 997  
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Author F. Pla; Petia Radeva; Jordi Vitria edit  openurl
  Title Non-parametric distance-based classification techniques and their applications Type Journal
  Year 2008 Publication Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications Abbreviated Journal  
  Volume 11 Issue (down) 3-4 Pages 223–225  
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  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
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  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PRV2008 Serial 999  
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Author Sergio Escalera; David Masip; Eloi Puertas; Petia Radeva; Oriol Pujol edit  doi
openurl 
  Title Online Error-Correcting Output Codes Type Journal Article
  Year 2011 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 32 Issue (down) 3 Pages 458-467  
  Keywords  
  Abstract IF JCR CCIA 1.303 2009 54/103
This article proposes a general extension of the error correcting output codes framework to the online learning scenario. As a result, the final classifier handles the addition of new classes independently of the base classifier used. In particular, this extension supports the use of both online example incremental and batch classifiers as base learners. The extension of the traditional problem independent codings one-versus-all and one-versus-one is introduced. Furthermore, two new codings are proposed, unbalanced online ECOC and a problem dependent online ECOC. This last online coding technique takes advantage of the problem data for minimizing the number of dichotomizers used in the ECOC framework while preserving a high accuracy. These techniques are validated on an online setting of 11 data sets from UCI database and applied to two real machine vision applications: traffic sign recognition and face recognition. As a result, the online ECOC techniques proposed provide a feasible and robust way for handling new classes using any base classifier.
 
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication North Holland Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0167-8655 ISBN Medium  
  Area Expedition Conference  
  Notes MILAB;OR;HuPBA;MV Approved no  
  Call Number Admin @ si @ EMP2011 Serial 1714  
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