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Author Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Learning to Learn: From Smarts Machines to Intelligent Machines Type Journal
  Year 2008 Publication Patter Recognition Letters Abbreviated Journal PRL  
  Volume 29 Issue 8 Pages 1024–1032  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008a Serial 950  
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Author Matthias S. Keil; Agata Lapedriza; David Masip; Jordi Vitria edit  openurl
  Title Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine Type Journal
  Year 2008 Publication PLoS ONE 3(7):e2590, DOI:10.1371/journal.pone.0002590 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ KLM2008 Serial 978  
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Author Bogdan Raducanu; Jordi Vitria edit  openurl
  Title Face Recognition by Artificial Vision Systems: A Cognitive Perspective Type Journal
  Year 2008 Publication International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal IJPRAI  
  Volume 22 Issue 5 Pages 899–913  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaV2008b Serial 1007  
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Author Santiago Segui; Michal Drozdzal; Ekaterina Zaytseva; Fernando Azpiroz; Petia Radeva; Jordi Vitria edit   pdf
doi  openurl
  Title Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images Type Journal Article
  Year 2014 Publication IEEE Transactions on Information Technology in Biomedicine Abbreviated Journal TITB  
  Volume 18 Issue 6 Pages 1831-1838  
  Keywords Wireless Capsule Endoscopy; Small Bowel Motility Dysfunction; Contraction Detection; Structured Prediction; Betweenness Centrality  
  Abstract Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the folding of the intestinal wall. In this paper we present a new method to robustly detect wrinkle frames in full WCE videos by using a new mid-level image descriptor that is based on a centrality measure proposed for graphs. We present an extended validation, carried out in a very large database, that shows that the proposed method achieves state of the art performance for this task.  
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  Notes OR; MILAB; 600.046;MV Approved no  
  Call Number Admin @ si @ SDZ2014 Serial 2385  
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Author Fadi Dornaika; Bogdan Raducanu edit  openurl
  Title 3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application Type Journal
  Year 2008 Publication IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2008d Serial 1109  
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