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Author |
Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin |
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Title |
Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes |
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Year |
2011 |
Publication  |
Innovations in Intelligent Image Analysis |
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339 |
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7-29 |
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A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images. |
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Springer Berlin Heidelberg |
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Berlin |
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H. Kawasnicka; L.Jain |
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1860-949X |
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978-3-642-17933-4 |
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MILAB;HuPBA |
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no |
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Admin @ si @ ETP2011 |
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1746 |
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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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Book Chapter |
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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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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 |
Antonio Lopez; David Vazquez; Gabriel Villalonga |
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Title |
Data for Training Models, Domain Adaptation |
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2018 |
Publication |
Intelligent Vehicles. Enabling Technologies and Future Developments |
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395–436 |
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Driving simulator; hardware; software; interface; traffic simulation; macroscopic simulation; microscopic simulation; virtual data; training data |
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Abstract |
Simulation can enable several developments in the field of intelligent vehicles. This chapter is divided into three main subsections. The first one deals with driving simulators. The continuous improvement of hardware performance is a well-known fact that is allowing the development of more complex driving simulators. The immersion in the simulation scene is increased by high fidelity feedback to the driver. In the second subsection, traffic simulation is explained as well as how it can be used for intelligent transport systems. Finally, it is rather clear that sensor-based perception and action must be based on data-driven algorithms. Simulation could provide data to train and test algorithms that are afterwards implemented in vehicles. These tools are explained in the third subsection. |
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ADAS; 600.118 |
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Admin @ si @ LVV2018 |
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3047 |
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Author |
Jose M. Armingol; Jorge Alfonso; Nourdine Aliane; Miguel Clavijo; Sergio Campos-Cordobes; Arturo de la Escalera; Javier del Ser; Javier Fernandez; Fernando Garcia; Felipe Jimenez; Antonio Lopez; Mario Mata |
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Title |
Environmental Perception for Intelligent Vehicles |
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Book Chapter |
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2018 |
Publication |
Intelligent Vehicles. Enabling Technologies and Future Developments |
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23–101 |
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Computer vision; laser techniques; data fusion; advanced driver assistance systems; traffic monitoring systems; intelligent vehicles |
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Environmental perception represents, because of its complexity, a challenge for Intelligent Transport Systems due to the great variety of situations and different elements that can happen in road environments and that must be faced by these systems. In connection with this, so far there are a variety of solutions as regards sensors and methods, so the results of precision, complexity, cost, or computational load obtained by these works are different. In this chapter some systems based on computer vision and laser techniques are presented. Fusion methods are also introduced in order to provide advanced and reliable perception systems. |
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ADAS; 600.118 |
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Admin @ si @AAA2018 |
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3046 |
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Author |
Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang |
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Title |
A novel PCA-based Bayes classifier and face analysis |
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2006 |
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International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 |
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Hong Kong |
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Admin @ si @ JDL2006 |
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624 |
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Author |
Joaquin Salas; P. Martinez; Jordi Gonzalez |
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Title |
Background Updating with the Use of Intrinsic Curves |
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2006 |
Publication |
International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 731–742, ISBN 978–3–540–44891–4 |
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ISE @ ise @ SMG2006 |
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768 |
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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 |
Publication |
International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 922–933 |
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OR;MV |
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BCNPCL @ bcnpcl @ RaV2006c |
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715 |
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Author |
Pau Riba; Alicia Fornes; Josep Llados |
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Title |
Towards the Alignment of Handwritten Music Scores |
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2017 |
Publication |
International Workshop on Graphics Recognition. GREC 2015.Graphic Recognition. Current Trends and Challenges |
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9657 |
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103-116 |
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Optical Music Recognition; Handwritten Music Scores; Dynamic Time Warping alignment |
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Abstract |
It is very common to nd di erent versions of the same music work in archives of Opera Theaters. These di erences correspond to modi cations and annotations from the musicians. From the musicologist point of view, these variations are very interesting and deserve study.
This paper explores the alignment of music scores as a tool for automatically detecting the passages that contain such di erences. Given the diculties in the recognition of handwritten music scores, our goal is to align the music scores and at the same time, avoid the recognition of music elements as much as possible. After removing the sta lines, braces and ties, the bar lines are detected. Then, the bar units are described as a whole using the Blurred Shape Model. The bar units alignment is performed by using Dynamic Time Warping. The analysis of the alignment path is used to detect the variations in the music scores. The method has been evaluated on a subset of the CVC-MUSCIMA dataset, showing encouraging results. |
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Bart Lamiroy; R Dueire Lins |
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978-3-319-52158-9 |
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DAG; 600.097; 602.006; 600.121 |
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Admin @ si @ RFL2017 |
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2955 |
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Author |
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados |
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Title |
Ontology-Based Understanding of Architectural Drawings |
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2017 |
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International Workshop on Graphics Recognition. GREC 2015.Graphic Recognition. Current Trends and Challenges |
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9657 |
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75-85 |
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Graphics recognition; Floor plan analysi; Domain ontology |
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In this paper we present a knowledge base of architectural documents aiming at improving existing methods of floor plan classification and understanding. It consists of an ontological definition of the domain and the inclusion of real instances coming from both, automatically interpreted and manually labeled documents. The knowledge base has proven to be an effective tool to structure our knowledge and to easily maintain and upgrade it. Moreover, it is an appropriate means to automatically check the consistency of relational data and a convenient complement of hard-coded knowledge interpretation systems. |
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DAG; 600.121 |
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Admin @ si @ HRL2017 |
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3086 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
3D Motion from Image Derivatives using the Least Trimmed Square Regression |
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2006 |
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International Workshop on Intelligent Computing in Pattern Analysis/Synthesis (IWICPAS´06), LNCS 4153: 76–84 |
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Xi'an (China) |
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ADAS |
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ADAS @ adas @ DoS2006b |
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690 |
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Author |
Aura Hernandez-Sabate; Debora Gil |
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The Benefits of IVUS Dynamics for Retrieving Stable Models of Arteries |
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2012 |
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Intravascular Ultrasound |
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185-206 |
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Intech |
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Yasuhiro Honda |
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english |
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IAM; ADAS |
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IAM @ iam @ HeG2012 |
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1684 |
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Fadi Dornaika; Francisco Javier Orozco; Jordi Gonzalez |
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Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models |
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2006 |
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IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 110–119 |
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ISE @ ise @ DOG2006 |
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687 |
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Ignasi Rius; Javier Varona; Xavier Roca; Jordi Gonzalez |
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Posture Constraints for Bayesian Human Motion Tracking |
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2006 |
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IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 414–423 |
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ISE @ ise @ RVR2006 |
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720 |
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Ivan Huerta; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva |
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Efficient Incorporation of Motionless Foreground Objects for Adaptive Background Segmentation |
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2006 |
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IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 424–433 |
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702 |
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J. Elder; Fadi Dornaika; Y. Hou; R. Goldstein |
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Attentive wide-field sensing for visual telepresence and surveillance |
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2005 |
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L. Itti, G. Rees and J. Tsotsos (editors), Neurobiology of Attention, Academic Press / Elsevier |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Expedition |
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Conference |
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Approved |
no |
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Call Number |
Admin @ si @ EDH2005 |
Serial |
604 |
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