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Author (up) F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra edit  openurl
  Title Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. Type Journal Article
  Year 1994 Publication Kidney International Abbreviated Journal  
  Volume 46 Issue 6 Pages 1721-1727  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MSV1994 Serial 113  
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Author (up) 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 3-4 Pages 223–225  
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  Publisher Springer Place of Publication Editor  
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  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PRV2008 Serial 999  
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Author (up) Fadi Dornaika; Abdelmalik Moujahid; Bogdan Raducanu edit   pdf
url  doi
openurl 
  Title Facial expression recognition using tracked facial actions: Classifier performance analysis Type Journal Article
  Year 2013 Publication Engineering Applications of Artificial Intelligence Abbreviated Journal EAAI  
  Volume 26 Issue 1 Pages 467-477  
  Keywords Visual face tracking; 3D deformable models; Facial actions; Dynamic facial expression recognition; Human–computer interaction  
  Abstract In this paper, we address the analysis and recognition of facial expressions in continuous videos. More precisely, we study classifiers performance that exploit head pose independent temporal facial action parameters. These are provided by an appearance-based 3D face tracker that simultaneously provides the 3D head pose and facial actions. The use of such tracker makes the recognition pose- and texture-independent. Two different schemes are studied. The first scheme adopts a dynamic time warping technique for recognizing expressions where training data are given by temporal signatures associated with different universal facial expressions. The second scheme models temporal signatures associated with facial actions with fixed length feature vectors (observations), and uses some machine learning algorithms in order to recognize the displayed expression. Experiments quantified the performance of different schemes. These were carried out on CMU video sequences and home-made video sequences. The results show that the use of dimension reduction techniques on the extracted time series can improve the classification performance. Moreover, these experiments show that the best recognition rate can be above 90%.  
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  Publisher Elsevier Place of Publication Editor  
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  Notes OR; 600.046;MV Approved no  
  Call Number Admin @ si @ DMR2013 Serial 2185  
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Author (up) Fadi Dornaika; Bogdan Raducanu edit  openurl
  Title Inferring Facial Expressions from Videos: Tool and Application Type Journal
  Year 2007 Publication Signal Processing: Image Communication, vol. 22(9):769–784 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2007b Serial 918  
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Author (up) 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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