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Author Felipe Lumbreras; Joan Serrat edit  openurl
  Title Segmentation of petrographical images of marbles Type Journal Article
  Year 1996 Publication Computers and Geosciences. 22(5):547–558 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ LuS1996b Serial 82  
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Author J. Pladellorens; Joan Serrat; A. Castell; M.J. Yzuel edit  openurl
  Title Using mathematical morphology to determine left ventricular contours. Type Journal
  Year 1993 Publication Physics in Medicine and Biology. Abbreviated Journal  
  Volume 37 Issue (up) Pages 1877––1894  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ PSC1993 Serial 146  
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Author A.F. Sole; S. Ngan; G. Sapiro; X. Hu; Antonio Lopez edit   pdf
openurl 
  Title Anisotropic 2-D and 3-D Averaging of fMRI Signals Type Journal
  Year 2001 Publication IEEE Transactions on Medical Imaging, 20(2): 86–93 (IF: 3.142) Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SNS2001 Serial 165  
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Author Daniel Ponsa; Robert Benavente; Felipe Lumbreras; J. Martinez; Xavier Roca edit  openurl
  Title Quality control of safety belts by machine vision inspection for real-time production Type Journal
  Year 2003 Publication Optical Engineering, 42:1114–1120 (IF: 0.877) Abbreviated Journal  
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  Notes ADAS;ISE;CIC Approved no  
  Call Number ADAS @ adas @ PRL2003 Serial 399  
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Author A.F. Sole; Antonio Lopez; G. Sapiro edit   pdf
openurl 
  Title Crease Enhancement Diffusion Type Journal
  Year 2001 Publication Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) Abbreviated Journal  
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  Address New York; USA  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SLS2001 Serial 485  
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Author Antonio Lopez; Ernest Valveny; Juan J. Villanueva edit  url
openurl 
  Title Real-time quality control of surgical material packaging by artificial vision Type Journal
  Year 2005 Publication Assembly Automation 25(3): 223–229 (IF: 0.061) Abbreviated Journal  
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  Notes ADAS;DAG Approved no  
  Call Number ADAS @ adas @ LVV2005 Serial 552  
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Author A. Restrepo; Angel Sappa; M. Devy edit  url
openurl 
  Title Edge registration versus triangular mesh registration, a comparative study Type Journal
  Year 2005 Publication Signal Processing: Image Communication 20: 853–868 (IF: 1.264) Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ RSD2005 Serial 567  
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Author Jaume Amores; Petia Radeva edit  openurl
  Title Retrieval of IVUS Images Using Contextual Information and Elastic Matching Type Journal
  Year 2005 Publication International Journal on Intelligent Systems, 20(5):541–560 (IF: 0.657) Abbreviated Journal  
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  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ AmR2005a Serial 593  
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Author Angel Sappa edit  url
openurl 
  Title Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation Type Journal
  Year 2006 Publication IEEE Transactions on Image Processing, 15(2):377–384 Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ Sap2006a Serial 637  
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Author Jaume Amores edit   pdf
doi  openurl
  Title Multiple Instance Classification: review, taxonomy and comparative study Type Journal Article
  Year 2013 Publication Artificial Intelligence Abbreviated Journal AI  
  Volume 201 Issue (up) Pages 81-105  
  Keywords Multi-instance learning; Codebook; Bag-of-Words  
  Abstract Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problemhave been proposed until now. Despite this fact, there is a lack of comparative studies that shed light into the characteristics and behavior of the different methods. In this work we provide such an analysis focused on the classification task (i.e.,leaving out other learning tasks such as regression). In order to perform our study, we implemented
fourteen methods grouped into three different families. We analyze the performance of the approaches across a variety of well-known databases, and we also study their behavior in synthetic scenarios in order to highlight their characteristics. As a result of this analysis, we conclude that methods that extract global bag-level information show a clearly superior performance in general. In this sense, the analysis permits us to understand why some types of methods are more successful than others, and it permits us to establish guidelines in the design of new MIL
methods.
 
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  Publisher Elsevier Science Publishers Ltd. Essex, UK Place of Publication Editor  
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  Series Volume Series Issue Edition  
  ISSN 0004-3702 ISBN Medium  
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  Notes ADAS; 601.042; 600.057 Approved no  
  Call Number Admin @ si @ Amo2013 Serial 2273  
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