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Author |
A. Dupuy; Joan Serrat; Jordi Vitria; J. Pladellorens |
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Analysis of gammagraphic images by mathematical morphology. |
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Conference Article |
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1991 |
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Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub. |
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ADAS;OR;MV |
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ADAS @ adas @ DSV1991 |
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262 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Writer Identification in Old Handwritten Music Scores |
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Book Chapter |
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2012 |
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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology |
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27-63 |
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The aim of writer identification is determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores. Even though an important amount of compositions contains handwritten text in the music scores, the aim of our work is to use only music notation to determine the author. The steps of the system proposed are the following. First of all, the music sheet is preprocessed and normalized for obtaining a single binarized music line, without the staff lines. Afterwards, 100 features are extracted for every music line, which are subsequently used in a k-NN classifier that compares every feature vector with prototypes stored in a database. By applying feature selection and extraction methods on the original feature set, the performance is increased. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving a recognition rate of about 95%. |
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IGI-Global |
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Copnstantin Papaodysseus |
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Admin @ si @ FLS2012 |
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1828 |
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Author |
Jordi Vitria; J. Llacer |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Reconstructing 3D light microscopic images using the EM algorithm |
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1996 |
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Pattern Recognition Letters |
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17 |
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14 |
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1491–1498 |
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OR;MV |
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BCNPCL @ bcnpcl @ ViL1996 |
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74 |
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Author |
A. Pujol; Jordi Vitria; Felipe Lumbreras; Juan J. Villanueva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Topological principal component analysis for face encoding and recognition |
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2001 |
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Pattern Recognition Letters |
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PRL |
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22 |
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6-7 |
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769–776 |
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IF: 0.552 |
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ADAS @ adas @ PVL2001 |
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155 |
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Author |
Gemma Sanchez; Josep Llados; K. Tombre |
![goto web page (via DOI) doi](img/doi.gif)
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A mean string algorithm to compute the average among a set of 2D shapes |
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2002 |
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Pattern Recognition Letters |
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23 |
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1-3 |
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203–214 |
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DAG; IF: 0.409 |
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DAG @ dag @ SLT2002 |
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275 |
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Author |
A. Martinez; Jordi Vitria |
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Learning mixture models using a genetic version of the EM algorithm. |
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2000 |
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Pattern Recognition Letters |
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PRL |
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21 |
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8 |
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759–769 |
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OR;MV |
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BCNPCL @ bcnpcl @ MVi2000 |
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335 |
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Author |
M. Bressan; Jordi Vitria |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Nonparametric Discriminant Analysis and Nearest Neighbor Classification |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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15 |
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2743–2749 |
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IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2003b |
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367 |
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Author |
Cristina Cañero; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Vesselness enhancement diffusion |
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Journal Article |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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16 |
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3141–3151 |
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IF: 0.809 |
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MILAB |
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BCNPCL @ bcnpcl @ CaR2003 |
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371 |
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Author |
David Guillamet; Jordi Vitria |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Evaluation of distance metrics for recognition based on non-negative matrix factorization |
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Journal Article |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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9-10 |
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1599 –1605 |
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IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ GuV2003b |
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380 |
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Author |
David Guillamet; Jordi Vitria; B. Shiele |
![goto web page (via DOI) doi](img/doi.gif)
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Introducing a weighted non-negative matrix factorization for image classification |
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2003 |
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Pattern Recognition Letters |
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PRL |
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24 |
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14 |
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2447–2454 |
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IF: 0.809 |
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OR;MV |
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BCNPCL @ bcnpcl @ GVS2003 |
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382 |
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Author |
A. Sanfeliu; Juan J. Villanueva |
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Title |
An approach of visual motion analysis |
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Journal Article |
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2005 |
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Pattern Recognition Letters |
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PRL |
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26 |
Issue |
3 |
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355–368 |
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Abstract |
IF: 1.138 |
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ISE @ ise @ SaV2005 |
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561 |
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Author |
Jaume Amores; Petia Radeva |
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Title |
Registration and Retrieval of Highly Elastic Bodies using Contextual Information |
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2005 |
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Pattern Recognition Letters |
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PRL |
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26 |
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11 |
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1720–1731 |
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IF: 1.138 |
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ADAS;MILAB |
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ADAS @ adas @ AmR2005b |
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592 |
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Author |
Oriol Ramos Terrades; Ernest Valveny |
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A new use of the ridgelets transform for describing linear singularities in images |
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2006 |
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Pattern Recognition Letters |
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PRL |
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27 |
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6 |
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587–596 |
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DAG @ dag @ RaV2006a |
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635 |
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Jaume Amores; N. Sebe; Petia Radeva |
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Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier |
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2006 |
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Pattern Recognition Letters |
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PRL |
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27 |
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3 |
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201–209 |
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ADAS @ adas @ ASR2006 |
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643 |
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Author |
Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
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Journal Article |
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2006 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Pattern Recognition Letters |
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PRL |
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27 |
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8 |
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875–881 |
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ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy |
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Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions. |
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MILAB;MV;SIAI |
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BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 |
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647 |
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