| Records |
| Author |
David Rotger; Petia Radeva; N. Bruining |
| Title |
Automatic Detection of Bioabsorbable Coronary Stents in IVUS Images using a Cascade of Classifiers |
Type |
Journal Article |
| Year |
2010 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
TITB |
| Volume |
14 |
Issue |
2 |
Pages |
535 – 537 |
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| Abstract |
Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the late restenosis. These stents made of poly-L-lactic acid cause a very subtle acoustic shadow (compared to the metallic ones) making difficult the automatic detection and measurements in images. In this paper, we propose a novel approach based on a cascade of GentleBoost classifiers to detect the stent struts using structural features to code the information of the different subregions of the struts. A stochastic gradient descent method is applied to optimize the overall performance of the detector. Validation results of struts detection are very encouraging with an average F-measure of 81%. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RRB2010 |
Serial |
1287 |
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| Author |
Petia Radeva; Judit Martinez; A. Tovar; X. Binefa; Jordi Vitria; Juan J. Villanueva |
| Title |
CORKIDENT: an automatic vision system for real-time inspection of natural products. |
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1999 |
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Wales |
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OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ RMT1999 |
Serial |
23 |
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| Author |
O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; C. Garcia; R. Villuendas; A. Tovar; A. Duran; V. Valle; Misael Rosales; Petia Radeva |
| Title |
Model Empiric de Simulacio d Ecografia Intravascular |
Type |
Journal Article |
| Year |
2003 |
Publication |
Revista Societat Catalana de Cardiologia, 4(4):42, XIVe Congres de la Societat Catalana de Cardiologia |
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Barcelona |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ RMF2003e |
Serial |
412 |
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| Author |
Bogdan Raducanu; D. Gatica-Perez |
| Title |
Inferring competitive role patterns in reality TV show through nonverbal analysis |
Type |
Journal Article |
| Year |
2012 |
Publication |
Multimedia Tools and Applications |
Abbreviated Journal |
MTAP |
| Volume |
56 |
Issue |
1 |
Pages |
207-226 |
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| Abstract |
This paper introduces a new facet of social media, namely that depicting social interaction. More concretely, we address this problem from the perspective of nonverbal behavior-based analysis of competitive meetings. For our study, we made use of “The Apprentice” reality TV show, which features a competition for a real, highly paid corporate job. Our analysis is centered around two tasks regarding a person's role in a meeting: predicting the person with the highest status, and predicting the fired candidates. We address this problem by adopting both supervised and unsupervised strategies. The current study was carried out using nonverbal audio cues. Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words. The analysis is based on two types of data: individual and relational measures. Results obtained from the analysis of a full season of the show are promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach has been conveniently compared with the Influence Model, demonstrating its superiority. |
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Elsevier |
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| ISSN |
1380-7501 |
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| Notes |
OR;MV |
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no |
| Call Number |
BCNPCL @ bcnpcl @ RaG2012 |
Serial |
1360 |
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| Author |
Oriol Pujol; David Masip |
| Title |
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary |
Type |
Journal Article |
| Year |
2009 |
Publication |
IEEE Transactions on Pattern Analysis and Machine Intelligence |
Abbreviated Journal |
TPAMI |
| Volume |
31 |
Issue |
6 |
Pages |
1140–1146 |
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| Abstract |
This article introduces a novel binary discriminative learning technique based on the approximation of the non-linear decision boundary by a piece-wise linear smooth additive model. The decision border is geometrically defined by means of the characterizing boundary points – points that belong to the optimal boundary under a certain notion of robustness. Based on these points, a set of locally robust linear classifiers is defined and assembled by means of a Tikhonov regularized optimization procedure in an additive model to create a final lambda-smooth decision rule. As a result, a very simple and robust classifier with a strong geometrical meaning and non-linear behavior is obtained. The simplicity of the method allows its extension to cope with some of nowadays machine learning challenges, such as online learning, large scale learning or parallelization, with linear computational complexity. We validate our approach on the UCI database. Finally, we apply our technique in online and large scale scenarios, and in six real life computer vision and pattern recognition problems: gender recognition, intravascular ultrasound tissue classification, speed traffic sign detection, Chagas' disease severity detection, clef classification and action recognition using a 3D accelerometer data. The results are promising and this paper opens a line of research that deserves further attention |
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OR;HuPBA;MV |
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no |
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BCNPCL @ bcnpcl @ PuM2009 |
Serial |
1252 |
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| Author |
Xavier Otazu; Oriol Pujol |
| Title |
Wavelet based approach to cluster analysis. Application on low dimensional data sets |
Type |
Journal Article |
| Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
27 |
Issue |
14 |
Pages |
1590–1605 |
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MILAB; CIC; HuPBA |
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no |
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BCNPCL @ bcnpcl @ OtP2006 |
Serial |
658 |
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| Author |
A. Martinez; Jordi Vitria |
| Title |
Learning mixture models using a genetic version of the EM algorithm. |
Type |
Journal Article |
| Year |
2000 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
21 |
Issue |
8 |
Pages |
759–769 |
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OR;MV |
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BCNPCL @ bcnpcl @ MVi2000 |
Serial |
335 |
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| Author |
F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra |
| Title |
Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. |
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Journal Article |
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1994 |
Publication |
Kidney International |
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46 |
Issue |
6 |
Pages |
1721-1727 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MSV1994 |
Serial |
113 |
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| Author |
David Masip; Agata Lapedriza; Jordi Vitria |
| Title |
Boosted Online Learning for Face Recognition |
Type |
Journal Article |
| Year |
2009 |
Publication |
IEEE Transactions on Systems, Man and Cybernetics part B |
Abbreviated Journal |
TSMCB |
| Volume |
39 |
Issue |
2 |
Pages |
530–538 |
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| Abstract |
Face recognition applications commonly suffer from three main drawbacks: a reduced training set, information lying in high-dimensional subspaces, and the need to incorporate new people to recognize. In the recent literature, the extension of a face classifier in order to include new people in the model has been solved using online feature extraction techniques. The most successful approaches of those are the extensions of the principal component analysis or the linear discriminant analysis. In the current paper, a new online boosting algorithm is introduced: a face recognition method that extends a boosting-based classifier by adding new classes while avoiding the need of retraining the classifier each time a new person joins the system. The classifier is learned using the multitask learning principle where multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the structure learned previously, being the addition of new classes not computationally demanding. The present proposal has been (experimentally) validated with two different facial data sets by comparing our approach with the current state-of-the-art techniques. The results show that the proposed online boosting algorithm fares better in terms of final accuracy. In addition, the global performance does not decrease drastically even when the number of classes of the base problem is multiplied by eight. |
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1083–4419 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MLV2009 |
Serial |
1155 |
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| Author |
J. Mauri; E Fernandez-Nofrerias; A. Tovar; E. Martinez; L. Cano; V. Valle; David Rotger; Cristina Cañero; Petia Radeva |
| Title |
Ecografia Intracoronaria: Un Nou Pas, la Fusio de Imatges amb la Angiografia, el Software. |
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Journal Article |
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2001 |
Publication |
Revista de la Societat Catalana de Cardiologia, XIIIe Congres de la Societat Catalana de Cardiologia, 4(1):48. |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ MFT2001 |
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136 |
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| Author |
A. Martinez; Jordi Vitria |
| Title |
A Development Plataform for Autonomous Agents. |
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Journal Article |
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1995 |
Publication |
ASI–AA–95 – Practice and Future of Autonomous Agents. |
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Monte Verita, Switzerland. |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV1995b |
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123 |
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| Author |
A. Martinez; Jordi Vitria |
| Title |
Designing and Implementing Real Walking Agents using Virtual Environments. |
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Journal Article |
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1995 |
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Madeira, Portugal |
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OR;MV |
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BCNPCL @ bcnpcl @ MaV1995a |
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121 |
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| Author |
David Guillamet; Jordi Vitria; B. Shiele |
| Title |
Introducing a weighted non-negative matrix factorization for image classification |
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Journal Article |
| Year |
2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
14 |
Pages |
2447–2454 |
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IF: 0.809 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GVS2003 |
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382 |
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| Author |
David Guillamet; Jordi Vitria |
| Title |
Evaluation of distance metrics for recognition based on non-negative matrix factorization |
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Journal Article |
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2003 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
24 |
Issue |
9-10 |
Pages |
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 |
Carlo Gatta; Oriol Pujol; Oriol Rodriguez-Leor; J. M. Ferre; Petia Radeva |
| Title |
Fast Rigid Registration of Vascular Structures in IVUS Sequences |
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Journal Article |
| Year |
2009 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
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13 |
Issue |
6 |
Pages |
106-1011 |
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Intravascular ultrasound (IVUS) technology permits visualization of high-resolution images of internal vascular structures. IVUS is a unique image-guiding tool to display longitudinal view of the vessels, and estimate the length and size of vascular structures with the goal of accurate diagnosis. Unfortunately, due to pulsatile contraction and expansion of the heart, the captured images are affected by different motion artifacts that make visual inspection difficult. In this paper, we propose an efficient algorithm that aligns vascular structures and strongly reduces the saw-shaped oscillation, simplifying the inspection of longitudinal cuts; it reduces the motion artifacts caused by the displacement of the catheter in the short-axis plane and the catheter rotation due to vessel tortuosity. The algorithm prototype aligns 3.16 frames/s and clearly outperforms state-of-the-art methods with similar computational cost. The speed of the algorithm is crucial since it allows to inspect the corrected sequence during patient intervention. Moreover, we improved an indirect methodology for IVUS rigid registration algorithm evaluation. |
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1089-7771 |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ GPL2009 |
Serial |
1250 |
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