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Author Ernest Valveny; Enric Marti edit   pdf
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  Title Application of deformable template matching to symbol recognition in hand-written architectural draw Type Conference Article
  Year 1999 Publication Proceedings of the Fifth International Conference on Abbreviated Journal  
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  Abstract We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified.  
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  Publisher Place of Publication Bangalore (India) Editor  
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  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ VAM1999a Serial 1657  
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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 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 Ernest Valveny; Enric Marti edit  openurl
  Title Dimensions analysis in hand-drawn architectural drawings Type Conference Article
  Year 1997 Publication (SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume Issue Pages 90-91  
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  Publisher Place of Publication CVC-UAB Editor  
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  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ VAM1997 Serial 1659  
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Author Ernest Valveny; Ricardo Toledo; Ramon Baldrich; Enric Marti edit  openurl
  Title Combining recognition-based in segmentation-based approaches for graphic symol recognition using deformable template matching Type Conference Article
  Year 2002 Publication Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002 Abbreviated Journal  
  Volume Issue Pages 502–507  
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  Notes DAG;RV;CAT;IAM;CIC;ADAS Approved no  
  Call Number IAM @ iam @ VTB2002 Serial 1660  
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Author Dimosthenis Karatzas;Ch. Lioutas edit  openurl
  Title Software Package Development for Electron Diffraction Image Analysis Type Conference Article
  Year 1998 Publication 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 Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy edit  openurl
  Title Indistinct frame detection in colonoscopy videos Type Conference Article
  Year 2009 Publication Machine Vision and Image Processing Conference Abbreviated Journal  
  Volume Issue Pages 47-52  
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  Notes MV Approved no  
  Call Number fernando @ fernando @ Serial 2424  
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Author Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey edit  doi
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  Title Quality Improvement of Endoscopy Videos Type Conference Article
  Year 2011 Publication Proceedings of the 8th IASTED International Conference on Biomedical Engineering Abbreviated Journal  
  Volume 723 Issue Pages  
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  Notes MV Approved no  
  Call Number fernando @ fernando @ Serial 2426  
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Author Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño edit  doi
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  Title Texture-based Polyp Detection in Colonoscopy Type Conference Article
  Year 2009 Publication Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN Abbreviated Journal  
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  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2428  
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Author Fernando Vilariño; Gerard Lacey edit  openurl
  Title QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems Type Conference Article
  Year 2009 Publication in Proc. 3rd International Conference on Biomedical Electronics and Devices Abbreviated Journal  
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  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2430  
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Author Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett edit  openurl
  Title Automatic Labeling of Colonoscopy Video for Cancer Detection Type Conference Article
  Year 2007 Publication In Proc. berian Conference, IbPRIA Abbreviated Journal  
  Volume Issue Pages 290-297  
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  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2431  
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Author Mireia Sole; Joan Blanco; Debora Gil; G. Fonseka; Richard Frodsham; Oliver Valero; Francesca Vidal; Zaida Sarrate edit  openurl
  Title Unraveling the enigmas of chromosome territoriality during spermatogenesis Type Conference Article
  Year 2017 Publication IX Jornada del Departament de Biologia Cel•lular, Fisiologia i Immunologia Abbreviated Journal  
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  Address UAB; Barcelona; June 2017  
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  Notes IAM; 600.145 Approved no  
  Call Number Admin @ si @ SBG2017b Serial 2959  
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Author Laura Lopez-Fuentes; Claudio Rossi; Harald Skinnemoen edit   pdf
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  Title River segmentation for flood monitoring Type Conference Article
  Year 2017 Publication Data Science for Emergency Management at Big Data 2017 Abbreviated Journal  
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  Abstract Floods are major natural disasters which cause deaths and material damages every year. Monitoring these events is crucial in order to reduce both the affected people and the economic losses. In this work we train and test three different Deep Learning segmentation algorithms to estimate the water area from river images, and compare their performances. We discuss the implementation of a novel data chain aimed to monitor river water levels by automatically process data collected from surveillance cameras, and to give alerts in case of high increases of the water level or flooding. We also create and openly publish the first image dataset for river water segmentation.  
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  Notes LAMP; 600.084; 600.120 Approved no  
  Call Number Admin @ si @ LRS2017 Serial 3078  
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Author Anguelos Nicolaou; Sounak Dey; V.Christlein; A.Maier; Dimosthenis Karatzas edit   pdf
url  openurl
  Title Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings Type Conference Article
  Year 2018 Publication International Workshop on Reproducible Research in Pattern Recognition Abbreviated Journal  
  Volume 11455 Issue Pages 71-82  
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  Abstract Embedding data into vector spaces is a very popular strategy of pattern recognition methods. When distances between embeddings are quantized, performance metrics become ambiguous. In this paper, we present an analysis of the ambiguity quantized distances introduce and provide bounds on the effect. We demonstrate that it can have a measurable effect in empirical data in state-of-the-art systems. We also approach the phenomenon from a computer security perspective and demonstrate how someone being evaluated by a third party can exploit this ambiguity and greatly outperform a random predictor without even access to the input data. We also suggest a simple solution making the performance metrics, which rely on ranking, totally deterministic and impervious to such exploits.  
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  Series Editor Series Title Abbreviated Series Title LNCS  
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  Notes DAG; 600.121; 600.129 Approved no  
  Call Number Admin @ si @ NDC2018 Serial 3178  
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Author Zhengying Liu; Isabelle Guyon; Julio C. S. Jacques Junior; Meysam Madadi; Sergio Escalera; Adrien Pavao; Hugo Jair Escalante; Wei-Wei Tu; Zhen Xu; Sebastien Treguer edit   pdf
url  openurl
  Title AutoCV Challenge Design and Baseline Results Type Conference Article
  Year 2019 Publication La Conference sur l’Apprentissage Automatique Abbreviated Journal  
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  Abstract We present the design and beta tests of a new machine learning challenge called AutoCV (for Automated Computer Vision), which is the first event in a series of challenges we are planning on the theme of Automated Deep Learning. We target applications for which Deep Learning methods have had great success in the past few years, with the aim of pushing the state of the art in fully automated methods to design the architecture of neural networks and train them without any human intervention. The tasks are restricted to multi-label image classification problems, from domains including medical, areal, people, object, and handwriting imaging. Thus the type of images will vary a lot in scales, textures, and structure. Raw data are provided (no features extracted), but all datasets are formatted in a uniform tensor manner (although images may have fixed or variable sizes within a dataset). The participants's code will be blind tested on a challenge platform in a controlled manner, with restrictions on training and test time and memory limitations. The challenge is part of the official selection of IJCNN 2019.  
  Address Toulouse; Francia; July 2019  
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  Notes HUPBA; no proj Approved no  
  Call Number Admin @ si @ LGJ2019 Serial 3323  
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Author Fernando Vilariño edit  openurl
  Title Library Living Lab, Numérisation 3D des chapiteaux du cloître de Saint-Cugat : des citoyens co- créant le nouveau patrimoine culturel numérique Type Conference Article
  Year 2019 Publication Intersectorialité et approche Living Labs. Entretiens Jacques-Cartier Abbreviated Journal  
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  Address Montreal; Canada; December 2019  
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  Notes MV; DAG; 600.140; 600.121;SIAI Approved no  
  Call Number Admin @ si @ Vil2019a Serial 3457  
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