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Author |
Xavier Baro; Jordi Vitria |
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Title |
Weighted Dissociated Diploes: An Extended Visual Feature Set |
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2008 |
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Computer Vision Systems. 6th International Conference ICVS |
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5008 |
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281–290 |
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Santorini (Greece) |
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OR;HuPBA;MV |
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BCNPCL @ bcnpcl @ BaV2008b |
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977 |
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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
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Title |
Classification of Coronary Damage in Chronic Chagasic Patients |
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2010 |
Publication |
Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence |
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299 |
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461-478 |
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Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding |
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Abstract |
Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ 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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Springer-Verlag |
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V. Sgurev, M. Hadjiski (eds) |
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OR;MILAB;HUPBA;MV |
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BCNPCL @ bcnpcl @ EPL2010 |
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1452 |
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Author |
Jordi Vitria; Petia Radeva; I. Aguilo |
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Title |
Recent Advances in Artificial Intelligence Research and Development |
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Book Chapter |
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Year |
2004 |
Publication |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
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Amsterdam |
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BCNPCL @ bcnpcl @ VRA2004 |
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509 |
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Author |
Santiago Segui; Laura Igual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
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Title |
A Semi-Supervised Learning Method for Motility Disease Diagnostic |
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Book Chapter |
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Year |
2007 |
Publication |
Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern (CIARP 2007), LCNS 4756:773–782, ISBN 978–3–540–76724–4 |
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BCNPCL @ bcnpcl @ SIR2007b |
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897 |
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Author |
David Guillamet; Jordi Vitria |
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Title |
An Experimental Evaluation of K-nn for Linear Transforms of Positive Data |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science. 2652:317–325 |
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Springer-Verlag |
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no |
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BCNPCL @ bcnpcl @ GuV2003a |
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379 |
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Author |
David Masip; Jordi Vitria |
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Title |
Classifier Combination Applied to Real Time Face Detection and Classification. |
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Year |
2004 |
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Recerca Automatica, Visio i Robotica, Ed. UPC, A. Grau, V. Puig (Eds.), 345–353, ISBN 84–7653–844–8 |
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BCNPCL @ bcnpcl @ MBV2004b |
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449 |
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Author |
Agata Lapedriza; David Masip; Jordi Vitria |
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Title |
The contribution of external features to face recognition |
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Book Chapter |
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Year |
2005 |
Publication |
Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 537–544 |
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Estoril (Portugal) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ LMV2005a |
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546 |
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Author |
Agata Lapedriza; Jordi Vitria |
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Title |
Experimental Study of the Usefulness of External Face Features for Face Classification |
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2005 |
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Artificial Intelligence Research and Development, IOS Press, 99–106 |
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Amsterdam |
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no |
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BCNPCL @ bcnpcl @ LaV2005 |
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610 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Real-Time Face Tracking for Context-Aware Computing |
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Book Chapter |
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2005 |
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Artificial Intelligence Research and Development, IOS Press, 91–98 |
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BCNPCL @ bcnpcl @ RaV2005b |
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616 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
A Robust Particle Filter-Based Face Tracker Using Combination of Color and Geometric Information |
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2006 |
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International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933 |
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BCNPCL @ bcnpcl @ RaV2006c |
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715 |
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Author |
David Masip; Agata Lapedriza; Jordi Vitria |
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Title |
Measuring External Face Appearance for Face Classification. |
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2007 |
Publication |
Face Recognition, Ed. Kresimir Delac and Mislav Grgic, pp. 287–307, ISBN 978–3–902613–03–5, I–Tech Education and Publishing |
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Vienna (Austria) |
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BCNPCL @ bcnpcl @ MLV2007b |
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940 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Facial Expression Recognition for HCI Applications |
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2008 |
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Encyclopedia of Artificial Intelligence |
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II |
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625–631 |
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IGI–Global Publisher |
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Rabuñal |
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BCNPCL @ bcnpcl @ DoR2008c |
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1034 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Subtle Facial Expression Recognition in Still Images and Videos |
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2011 |
Publication |
Advances in Face Image Analysis: Techniques and Technologies |
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14 |
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259-277 |
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This chapter addresses the recognition of basic facial expressions. It has three main contributions. First, the authors introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. they represent the learned facial actions associated with different facial expressions by time series. Two dynamic recognition schemes are proposed: (1) the first is based on conditional predictive models and on an analysis-synthesis scheme, and (2) the second is based on examples allowing straightforward use of machine learning approaches. Second, the authors propose an efficient recognition scheme based on the detection of keyframes in videos. Third, the authors compare the dynamic scheme with a static one based on analyzing individual snapshots and show that in general the former performs better than the latter. The authors then provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). |
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IGI-Global |
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New York, USA |
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Yu-Jin Zhang |
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978-1-6152-0991-0 |
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Admin @ si @ DoR2011 |
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1751 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
A Discriminative Non-Linear Manifold Learning Technique for Face Recognition |
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2011 |
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Informatics Engineering and Information Science |
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254 |
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6 |
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339-353 |
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In this paper we propose a novel non-linear discriminative analysis technique for manifold learning. The proposed approach is a discriminant version of Laplacian Eigenmaps which takes into account the class label information in order to guide the procedure of non-linear dimensionality reduction. By following the large margin concept, the graph Laplacian is split in two components: within-class graph and between-class graph to better characterize the discriminant property of the data.
Our approach has been tested on several challenging face databases and it has been conveniently compared with other linear and non-linear techniques. The experimental results confirm that our method outperforms, in general, the existing ones. Although we have concentrated in this paper on the face recognition problem, the proposed approach could also be applied to other category of objects characterized by large variance in their appearance. |
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Springer Berlin Heidelberg |
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1865-0929 |
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978-3-642-25482-6 |
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ICIEIS |
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Admin @ si @ RaD2011 |
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1804 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Analysis and Recognition of Facial Expressions in Videos Using Facial Shape Deformation |
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2012 |
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Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions |
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157-178 |
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NOVA Publishers |
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S.E. Carter |
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Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
OR;MV |
Approved |
no |
|
|
Call Number |
Admin @ si @ DoR2012 |
Serial |
2183 |
|
Permanent link to this record |