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Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
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Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International conference on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
Issue |
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Pages |
227-236 |
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Abstract |
Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
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Napoles, Italy |
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Springer-Verlag Berlin Heidelberg |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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978-3-642-21556-8 |
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MCS |
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MILAB; OR;HuPBA;MV |
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Call Number |
Admin @ si @ BPB2011a |
Serial |
1771 |
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Author |
Eloi Puertas; Sergio Escalera; Oriol Pujol |
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Title |
Multi-Class Multi-Scale Stacked Sequential Learning |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
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Volume |
6713 |
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Pages |
197-206 |
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Napoles, Italy |
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Springer |
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Carlo Sansone; Josef Kittler; Fabio Roli |
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MCS |
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HuPBA;MILAB |
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Call Number |
Admin @ si @ PEP2011b |
Serial |
1772 |
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Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
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Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
Issue |
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Pages |
227-236 |
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Keywords |
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Abstract |
Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
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Napoles, Italy |
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Springer-Verlag Berlin, Heidelberg |
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Editor |
Carlo Sansone; Josef Kittler; Fabio Roli |
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0302-9743 |
ISBN |
978-3-642-21556-8 |
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MCS |
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MILAB; OR;HuPBA;MV |
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no |
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Call Number |
Admin @ si @ BPB2011b |
Serial |
1887 |
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Author |
Laura Lopez-Fuentes; Sebastia Massanet; Manuel Gonzalez-Hidalgo |
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Title |
Image vignetting reduction via a maximization of fuzzy entropy |
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Conference Article |
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Year |
2017 |
Publication |
IEEE International Conference on Fuzzy Systems |
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In many computer vision applications, vignetting is an undesirable effect which must be removed in a pre-processing step. Recently, an algorithm for image vignetting correction has been presented by means of a minimization of log-intensity entropy. This method relies on an increase of the entropy of the image when it is affected with vignetting. In this paper, we propose a novel algorithm to reduce image vignetting via a maximization of the fuzzy entropy of the image. Fuzzy entropy quantifies the fuzziness degree of a fuzzy set and its value is also modified by the presence of vignetting. The experimental results show that this novel algorithm outperforms in most cases the algorithm based on the minimization of log-intensity entropy both from the qualitative and the quantitative point of view. |
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Napoles; Italia; July 2017 |
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FUZZ-IEEE |
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Notes |
LAMP; 600.120 |
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Call Number |
Admin @ si @ LMG2017 |
Serial |
2972 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
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Title |
Approximate Convex Hulls Family for One-Class Cassification |
Type |
Conference Article |
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Year |
2011 |
Publication |
10th International Workshop on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
Issue |
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Pages |
106-115 |
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Abstract |
In this work, a new method for one-class classification based on the Convex Hull geometric structure is proposed. The new method creates a family of convex hulls able to fit the geometrical shape of the training points. The increased computational cost due to the creation of the convex hull in multiple dimensions is circumvented using random projections. This provides an approximation of the original structure with multiple bi-dimensional views. In the projection planes, a mechanism for noisy points rejection has also been elaborated and evaluated. Results show that the approach performs considerably well with respect to the state the art in one-class classification. |
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Address |
Napoli, Italy |
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Springer Berlin Heidelberg |
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Editor |
Carlo Sansone; Josef Kittler; Fabio Roli |
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0302-9743 |
ISBN |
978-3-642-21556-8 |
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MCS |
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Notes |
MILAB;HuPBA |
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no |
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Call Number |
Admin @ si @ CPR2011b |
Serial |
1761 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Word and Symbol Spotting using Spatial Organization of Local Descriptors |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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Pages |
489–496 |
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Nara (Japan) |
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DAS |
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DAG |
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DAG @ dag @ RuL2008b |
Serial |
1059 |
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Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
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Title |
Performance Evaluation of Symbol Recognition and Spotting Systems |
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Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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Pages |
497–505 |
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Address |
Nara (Japan) |
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DAG |
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DAG @ dag @ DVL2008b |
Serial |
1060 |
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Author |
Joan Mas; Jose Antonio Rodriguez; Dimosthenis Karatzas; Gemma Sanchez; Josep Llados |
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Title |
HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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Pages |
517–524 |
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Nara (Japan) |
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DAS |
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DAG |
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no |
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Call Number |
DAG @ dag @ MRK2008a |
Serial |
1061 |
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Author |
Dimosthenis Karatzas |
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Title |
Detecting Gradients in Text Images Using the Hough Transform |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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245–252 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ Kar2008 |
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1062 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
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Title |
Writer Identification in Old Handwritten Music Scores |
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Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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347–353 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ FLS2008b |
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1078 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
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Title |
Multi-oriented English Text Line Extraction using Background and Foreground Information |
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Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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315–322 |
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Nara (Japo) |
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DAG |
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DAG @ dag @ RPL2008b |
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1047 |
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Author |
T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades |
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Title |
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval |
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Conference Article |
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2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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191-197 |
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Nara, Japan |
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DAG |
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Admin @ si @ NTR2008a |
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1873 |
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Author |
N. Zakaria; Jean-Marc Ogier; Josep Llados |
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Title |
The Fuzzy-Spatial Descriptor for the Online Graphic Recognition: Overlapping Matrix Algorithm |
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2006 |
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7th International Workshop, Document Analysis Systems VII (DAS´06), LNCS 3872: 616–627 |
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Nelson (New Zealand) |
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DAG |
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DAG @ dag @ ZOL2006 |
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629 |
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Author |
Angel Sappa; M.A. Garcia |
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Title |
Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation |
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2004 |
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IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3 |
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New Orleans, LA, USA |
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ADAS |
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ADAS @ adas @ SaG2004b |
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459 |
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Author |
Mohamed Ramzy Ibrahim; Robert Benavente; Felipe Lumbreras; Daniel Ponsa |
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Title |
3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D Residual in Residual Dense Blocks |
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Conference Article |
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2022 |
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CVPR 2022 Workshop on IEEE Perception Beyond the Visible Spectrum workshop series (PBVS, 18th Edition) |
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Training; Solid modeling; Three-dimensional displays; PSNR; Convolution; Superresolution; Pattern recognition |
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Abstract |
The rapid advancement of Deep Convolutional Neural Networks helped in solving many remote sensing problems, especially the problems of super-resolution. However, most state-of-the-art methods focus more on Single Image Super-Resolution neglecting Multi-Image Super-Resolution. In this work, a new proposed 3D Residual in Residual Dense Blocks model (3DRRDB) focuses on remote sensing Multi-Image Super-Resolution for two different single spectral bands. The proposed 3DRRDB model explores the idea of 3D convolution layers in deeply connected Dense Blocks and the effect of local and global residual connections with residual scaling in Multi-Image Super-Resolution. The model tested on the Proba-V challenge dataset shows a significant improvement above the current state-of-the-art models scoring a Corrected Peak Signal to Noise Ratio (cPSNR) of 48.79 dB and 50.83 dB for Near Infrared (NIR) and RED Bands respectively. Moreover, the proposed 3DRRDB model scores a Corrected Structural Similarity Index Measure (cSSIM) of 0.9865 and 0.9909 for NIR and RED bands respectively. |
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New Orleans, USA; 19 June 2022 |
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CVPRW |
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MSIAU; 600.130 |
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Admin @ si @ IBL2022 |
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3693 |
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