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Oriol Rodriguez-Leor; J. Mauri; E. Fernandez-Nofrerias; J. Lopez; M. Gomez; V. Valle; David Rotger; Petia Radeva |
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Coronary arteries three-dimensional quantification using intravascular ultrasound and angiography |
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2003 |
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European Heart Journal (IF: 5.997), ESC Congress 2003 |
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Vienna |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RMF2003d |
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411 |
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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
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Title |
Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes |
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Conference Article |
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2008 |
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Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. |
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2 |
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12–17 |
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The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of error-correcting output codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Varna (Bulgaria) |
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IS’08 |
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MILAB; OR;HuPBA;MV |
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BCNPCL @ bcnpcl @ EPL2008 |
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1042 |
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Author |
Karla Lizbeth Caballero |
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Title |
Coronary Plaque Classification using Intravascular Ultrasound Images and Radio Frequency Signals |
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2007 |
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CVC Technical Report #105 |
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CVC (UAB) |
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Admin @ si @ Cab2007 |
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822 |
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Joel Barajas; Jaume Garcia; Karla Lizbeth Caballero; Francesc Carreras; Sandra Pujades; Petia Radeva |
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Title |
Correction of Misalignment Artifacts Among 2-D Cardiac MR Images in 3-D Space |
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2006 |
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1st International Wokshop on Computer Vision for Intravascular and Intracardiac Imaging (CVII’06) |
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3217 |
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114-121 |
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Cardiac Magnetic Resonance images offer the opportunity to study the heart in detail. One of the main issues in its modelling is to create an accurate 3-D reconstruction of the left ventricle from 2-D views. A first step to achieve this goal is the correct registration among the different image planes due to patient movements. In this article, we present an accurate method to correct displacement artifacts using the Normalized Mutual Information. Here, the image views are treated as planes in order to diminish the approximation error caused by the association of a certain thickness, and moved simultaneously to avoid any kind of bias in the alignment process. This method has been validated using real and syntectic plane displacements, yielding promising results. |
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Copenhagen (Denmark) |
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978-3-540-22977-3 |
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IAM;MILAB |
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IAM @ iam @ BGC2006 |
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1485 |
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Author |
Mohammad Rouhani; Angel Sappa |
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Title |
Correspondence Free Registration through a Point-to-Model Distance Minimization |
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2011 |
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13th IEEE International Conference on Computer Vision |
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2150-2157 |
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This paper presents a novel formulation, which derives in a smooth minimization problem, to tackle the rigid registration between a given point set and a model set. Unlike most of the existing works, which are based on minimizing a point-wise correspondence term, we propose to describe the model set by means of an implicit representation. It allows a new definition of the registration error, which works beyond the point level representation. Moreover, it could be used in a gradient-based optimization framework. The proposed approach consists of two stages. Firstly, a novel formulation is proposed that relates the registration parameters with the distance between the model and data set. Secondly, the registration parameters are obtained by means of the Levengberg-Marquardt algorithm. Experimental results and comparisons with state of the art show the validity of the proposed framework. |
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Barcelona |
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1550-5499 |
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978-1-4577-1101-5 |
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ICCV |
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ADAS |
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Admin @ si @ RoS2011b; ADAS @ adas @ |
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1832 |
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Author |
E Fernandez-Nofrerias; J. Mauri; A. Tovar; L. Cano; E. Martinez; C. Julia; V. Valle; David Rotger; Petia Radeva |
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Title |
Correspondencia de las imagenes de angiografia y ecografia intracoronaria: La fusion. |
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Miscellaneous |
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2001 |
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XXXVII Congreso Nacional de la Sociedad Española de Cardiologia |
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Barcelona (Spain) |
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MILAB |
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BCNPCL @ bcnpcl @ FMT2001 |
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91 |
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David Rotger; Petia Radeva; Cristina Cañero; Juan J. Villanueva; J. Mauri; E Fernandez-Nofrerias; A. Tovar; V. Valle |
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Corresponding IVUS and Angiogram Image Data |
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2001 |
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Proceedings of Computers in Cardiology Rottherdam, (in press). |
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The Netherlands |
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MILAB |
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BCNPCL @ bcnpcl @ RRC2001 |
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159 |
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Joan Serrat; Felipe Lumbreras; Antonio Lopez |
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Title |
Cost estimation of custom hoses from STL files and CAD drawings |
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2013 |
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Computers in Industry |
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COMPUTIND |
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64 |
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3 |
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299-309 |
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On-line quotation; STL format; Regression; Gaussian process |
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We present a method for the cost estimation of custom hoses from CAD models. They can come in two formats, which are easy to generate: a STL file or the image of a CAD drawing showing several orthogonal projections. The challenges in either cases are, first, to obtain from them a high level 3D description of the shape, and second, to learn a regression function for the prediction of the manufacturing time, based on geometric features of the reconstructed shape. The chosen description is the 3D line along the medial axis of the tube and the diameter of the circular sections along it. In order to extract it from STL files, we have adapted RANSAC, a robust parametric fitting algorithm. As for CAD drawing images, we propose a new technique for 3D reconstruction from data entered on any number of orthogonal projections. The regression function is a Gaussian process, which does not constrain the function to adopt any specific form and is governed by just two parameters. We assess the accuracy of the manufacturing time estimation by k-fold cross validation on 171 STL file models for which the time is provided by an expert. The results show the feasibility of the method, whereby the relative error for 80% of the testing samples is below 15%. |
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Elsevier |
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ADAS; 600.057; 600.054; 605.203 |
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Admin @ si @ SLL2013; ADAS @ adas @ |
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2161 |
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Angel Sappa; Boris X. Vintimilla |
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Cost-Based Closed Contour Representations |
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2007 |
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Journal of Electronic Imaging, 16(2), 023009 (9 pages) |
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ADAS |
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ADAS @ adas @ SaV2007 |
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803 |
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Author |
Jiaolong Xu; Sebastian Ramos;David Vazquez; Antonio Lopez |
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Title |
Cost-sensitive Structured SVM for Multi-category Domain Adaptation |
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2014 |
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22nd International Conference on Pattern Recognition |
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3886 - 3891 |
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Domain Adaptation; Pedestrian Detection |
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Domain adaptation addresses the problem of accuracy drop that a classifier may suffer when the training data (source domain) and the testing data (target domain) are drawn from different distributions. In this work, we focus on domain adaptation for structured SVM (SSVM). We propose a cost-sensitive domain adaptation method for SSVM, namely COSS-SSVM. In particular, during the re-training of an adapted classifier based on target and source data, the idea that we explore consists in introducing a non-zero cost even for correctly classified source domain samples. Eventually, we aim to learn a more targetoriented classifier by not rewarding (zero loss) properly classified source-domain training samples. We assess the effectiveness of COSS-SSVM on multi-category object recognition. |
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Stockholm; Sweden; August 2014 |
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IEEE |
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1051-4651 |
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ICPR |
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ADAS; 600.057; 600.054; 601.217; 600.076 |
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ADAS @ adas @ XRV2014a |
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2434 |
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J.M. Sanchez; X. Binefa; J.R. Kender |
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Coupled Markox Chains for Video Contents Characterization. |
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2002 |
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Proceeding of the International Conference on Pattern Recognition ICPR 2002 |
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Admin @ si @ SBK2002a |
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298 |
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Yunan Li; Jun Wan; Qiguang Miao; Sergio Escalera; Huijuan Fang; Huizhou Chen; Xiangda Qi; Guodong Guo |
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CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis |
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2020 |
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International Journal of Computer Vision |
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IJCV |
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128 |
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2763–2780 |
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First impressions strongly influence social interactions, having a high impact in the personal and professional life. In this paper, we present a deep Classification-Regression Network (CR-Net) for analyzing the Big Five personality problem and further assisting on job interview recommendation in a first impressions setup. The setup is based on the ChaLearn First Impressions dataset, including multimodal data with video, audio, and text converted from the corresponding audio data, where each person is talking in front of a camera. In order to give a comprehensive prediction, we analyze the videos from both the entire scene (including the person’s motions and background) and the face of the person. Our CR-Net first performs personality trait classification and applies a regression later, which can obtain accurate predictions for both personality traits and interview recommendation. Furthermore, we present a new loss function called Bell Loss to address inaccurate predictions caused by the regression-to-the-mean problem. Extensive experiments on the First Impressions dataset show the effectiveness of our proposed network, outperforming the state-of-the-art. |
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HuPBA; no menciona |
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Admin @ si @ LWM2020 |
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3413 |
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Author |
A.F. Sole; Antonio Lopez; Cristina Cañero; Petia Radeva; J. Saludes |
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Crease enhancement diffusion |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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Bilbao |
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ADAS @ adas @ SLC1999 |
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9 |
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A.F. Sole; Antonio Lopez; G. Sapiro |
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Title |
Crease Enhancement Diffusion |
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2001 |
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Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) |
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New York; USA |
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ADAS |
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ADAS @ adas @ SLS2001 |
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485 |
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Antonio Lopez; Felipe Lumbreras; Joan Serrat |
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Creaseness form level set extrinsec curvature. |
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1998 |
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5th European Conference on Computer Vision (ECCV’98), Lecture Notes in Computer Science,vol 1407, pgs. 156–169 |
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Freiburg, Germany. |
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ADAS |
Approved |
no |
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ADAS @ adas @ LLS1998b |
Serial |
12 |
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