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Author David Masip; M. Bressan; Jordi Vitria edit  openurl
  Title Feature extraction methods for real-time face detection and classification Type Journal
  Year 2005 Publication Eurasip Journal on Applied Signal Processing, 13: 2061–2071 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number (up) BCNPCL @ bcnpcl @ MBV2005 Serial 612  
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Author David Masip; Ludmila I. Kuncheva; Jordi Vitria edit  openurl
  Title An ensemble-based method for linear feature extraction for two-class problems Type Journal
  Year 2005 Publication Pattern Analysis and Applications, 8(3): 227–237 (IF: 0.782) Abbreviated Journal  
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  Call Number (up) BCNPCL @ bcnpcl @ MKV2005 Serial 613  
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Author David Masip; Agata Lapedriza; Jordi Vitria edit  doi
openurl 
  Title Boosted Online Learning for Face Recognition Type Journal Article
  Year 2009 Publication IEEE Transactions on Systems, Man and Cybernetics part B Abbreviated Journal TSMCB  
  Volume 39 Issue 2 Pages 530–538  
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  Abstract Face recognition applications commonly suffer from three main drawbacks: a reduced training set, information lying in high-dimensional subspaces, and the need to incorporate new people to recognize. In the recent literature, the extension of a face classifier in order to include new people in the model has been solved using online feature extraction techniques. The most successful approaches of those are the extensions of the principal component analysis or the linear discriminant analysis. In the current paper, a new online boosting algorithm is introduced: a face recognition method that extends a boosting-based classifier by adding new classes while avoiding the need of retraining the classifier each time a new person joins the system. The classifier is learned using the multitask learning principle where multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the structure learned previously, being the addition of new classes not computationally demanding. The present proposal has been (experimentally) validated with two different facial data sets by comparing our approach with the current state-of-the-art techniques. The results show that the proposed online boosting algorithm fares better in terms of final accuracy. In addition, the global performance does not decrease drastically even when the number of classes of the base problem is multiplied by eight.  
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  ISSN 1083–4419 ISBN Medium  
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  Call Number (up) BCNPCL @ bcnpcl @ MLV2009 Serial 1155  
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Author 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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  Call Number (up) BCNPCL @ bcnpcl @ MSV1994 Serial 113  
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Author A. Martinez; Jordi Vitria edit  doi
openurl 
  Title Learning mixture models using a genetic version of the EM algorithm. Type Journal Article
  Year 2000 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 21 Issue 8 Pages 759–769  
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  Call Number (up) BCNPCL @ bcnpcl @ MVi2000 Serial 335  
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