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Author Josep Llados; Ernest Valveny; Enric Marti edit  isbn
openurl 
  Title Symbol Recognition in Document Image Analysis: Methods and Challenges Type Journal Article
  Year 2000 Publication (down) Recent Research Developments in Pattern Recognition, Transworld Research Network, Abbreviated Journal  
  Volume 1 Issue Pages 151–178.  
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  ISSN ISBN 81-86846-61-1 Medium  
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  Notes DAG;IAM Approved no  
  Call Number IAM @ iam @ LVM2000 Serial 1575  
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Author Sergio Escalera; Alicia Fornes; Oriol Pujol; Josep Llados; Petia Radeva edit  isbn
openurl 
  Title Multi-class Binary Object Categorization using Blurred Shape Models Type Conference Article
  Year 2007 Publication (down) Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern Abbreviated Journal  
  Volume 4756 Issue Pages 773–782  
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  Series Editor Series Title Abbreviated Series Title LCNS  
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  ISSN ISBN 978-3-540-76724-4 Medium  
  Area Expedition Conference CIARP  
  Notes MILAB; DAG;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ EFP2007 Serial 911  
Permanent link to this record
 

 
Author Dimosthenis Karatzas;Ch. Lioutas edit  openurl
  Title Software Package Development for Electron Diffraction Image Analysis Type Conference Article
  Year 1998 Publication (down) Proceedings of the XIV Solid State Physics National Conference Abbreviated Journal  
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  Address Ioannina, Greece  
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  Notes DAG Approved no  
  Call Number IAM @ iam @ KaL1998 Serial 2045  
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Author Mohammed Al Rawi; Dimosthenis Karatzas edit   pdf
openurl 
  Title On the Labeling Correctness in Computer Vision Datasets Type Conference Article
  Year 2018 Publication (down) Proceedings of the Workshop on Interactive Adaptive Learning, co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Abbreviated Journal  
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  Abstract Image datasets have heavily been used to build computer vision systems.
These datasets are either manually or automatically labeled, which is a
problem as both labeling methods are prone to errors. To investigate this problem, we use a majority voting ensemble that combines the results from several Convolutional Neural Networks (CNNs). Majority voting ensembles not only enhance the overall performance, but can also be used to estimate the confidence level of each sample. We also examined Softmax as another form to estimate posterior probability. We have designed various experiments with a range of different ensembles built from one or different, or temporal/snapshot CNNs, which have been trained multiple times stochastically. We analyzed CIFAR10, CIFAR100, EMNIST, and SVHN datasets and we found quite a few incorrect
labels, both in the training and testing sets. We also present detailed confidence analysis on these datasets and we found that the ensemble is better than the Softmax when used estimate the per-sample confidence. This work thus proposes an approach that can be used to scrutinize and verify the labeling of computer vision datasets, which can later be applied to weakly/semi-supervised learning. We propose a measure, based on the Odds-Ratio, to quantify how many of these incorrectly classified labels are actually incorrectly labeled and how many of these are confusing. The proposed methods are easily scalable to larger datasets, like ImageNet, LSUN and SUN, as each CNN instance is trained for 60 epochs; or even faster, by implementing a temporal (snapshot) ensemble.
 
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  Area Expedition Conference ECML-PKDDW  
  Notes DAG; 600.121; 600.129 Approved no  
  Call Number Admin @ si @ RaK2018 Serial 3144  
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Author Ernest Valveny; Enric Marti edit  openurl
  Title Recognition of lineal symbols in hand-written drawings using deformable template matching Type Conference Article
  Year 1999 Publication (down) Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes Abbreviated Journal  
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  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ VAM1999 Serial 1658  
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Author Josep Llados; Felipe Lumbreras; X. Varona edit  openurl
  Title A multidocument platform for automatic reading of identity cards. Type Miscellaneous
  Year 1999 Publication (down) Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. Abbreviated Journal  
  Volume Issue Pages  
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  Address Bilbao  
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  Notes ADAS;DAG Approved no  
  Call Number ADAS @ adas @ LLV1999 Serial 7  
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Author Ernest Valveny; B. Lamiroy edit  openurl
  Title Automatic Generation of Browsable Technical Documents. Type Miscellaneous
  Year 2002 Publication (down) Proceedings of the Sixteenth International Conference on Pattern Recognition ICPR 2002: 188–191. Abbreviated Journal  
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  Address Quebec, Canada  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ VaL2002 Serial 301  
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Author Ernest Valveny; Antonio Lopez edit   pdf
openurl 
  Title Numeral Recognition for Quality Control of Surgical Sachets Type Miscellaneous
  Year 2003 Publication (down) Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 379–383 Abbreviated Journal  
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  Notes DAG;ADAS Approved no  
  Call Number ADAS @ adas @ VaL2003 Serial 423  
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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Radon Transform for Lineal Symbol Representation Type Miscellaneous
  Year 2003 Publication (down) Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 195–199 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RaV2003d Serial 406  
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Author Ricardo Toledo; Ramon Baldrich; Ernest Valveny; Petia Radeva edit  openurl
  Title Enhancing snakes for vessel detection in angiography images. Type Miscellaneous
  Year 2002 Publication (down) Proceedings of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 139–144. Abbreviated Journal  
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  Notes MILAB;DAG;CIC;ADAS Approved no  
  Call Number BCNPCL @ bcnpcl @ TBV2002 Serial 300  
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