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Author | Yu Jie; Jaume Amores; N. Sebe; Petia Radeva; Tian Qi | ||||
Title | Distance Learning for Similarity Estimation | Type | Journal | ||
Year | 2008 | Publication | IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462 | Abbreviated Journal | |
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Notes | ADAS;MILAB | Approved | no | ||
Call Number | ADAS @ adas @ JAS2008 | Serial | 961 | ||
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Author | Xavier Otazu; Maria Vanrell; C. Alejandro Parraga | ||||
Title | Multiresolution Wavelet Framework Models Brightness Induction Effects | Type | Journal | ||
Year | 2008 | Publication | Vision Research | Abbreviated Journal | VR |
Volume | 48 | Issue | 5 | Pages | 733–751 |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ OVP2008a | Serial | 927 | ||
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Author | Xavier Otazu; Maria Vanrell; C. Alejandro Parraga | ||||
Title | Colour induction effects are modelled by a low-level multiresolution wavelet framework | Type | Journal | ||
Year | 2008 | Publication | Perception 37(Suppl.): 107 | Abbreviated Journal | |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ OVP2008b | Serial | 1055 | ||
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Author | Xavier Baro; Jordi Vitria | ||||
Title | Evolutionary Object Detection by Means of Naive Bayes Models Estimation | Type | Book Chapter | ||
Year | 2008 | Publication | Applications of Evolutionary Computing. EvoWorkshops | Abbreviated Journal | |
Volume | 4974 | Issue | Pages | 235–244 | |
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Address | Naples (Italy) | ||||
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Publisher | Place of Publication | Editor | M. Giacobini | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Notes | OR;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ BaV2008a | Serial | 976 | ||
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Author | Xavier Baro; Jordi Vitria | ||||
Title | Weighted Dissociated Diploes: An Extended Visual Feature Set | Type | Book Chapter | ||
Year | 2008 | Publication | Computer Vision Systems. 6th International Conference ICVS | Abbreviated Journal | |
Volume | 5008 | Issue | Pages | 281–290 | |
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Address | Santorini (Greece) | ||||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Notes | OR;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ BaV2008b | Serial | 977 | ||
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Author | T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades; A.T. Thierry | ||||
Title | Proposition d'un descripteur de formes et du modèle vectoriel pour la recherche de symboles | Type | Conference Article | ||
Year | 2008 | Publication | Colloque International Francophone sur l'Ecrit et le Document | Abbreviated Journal | |
Volume | Issue | Pages | 79-84 | ||
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Address | Rouen, France | ||||
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Area | Expedition | Conference | CIFED | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ NTR2008b | Serial | 1875 | ||
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Author | T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades | ||||
Title | Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval | Type | Conference Article | ||
Year | 2008 | Publication | Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, | Abbreviated Journal | |
Volume | Issue | Pages | 191-197 | ||
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Address | Nara, Japan | ||||
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Area | Expedition | Conference | DAS | ||
Notes | DAG | Approved | no | ||
Call Number | Admin @ si @ NTR2008a | Serial | 1873 | ||
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Author | Sergio Escalera; Oriol Pujol; Petia Radeva | ||||
Title | Detection of Complex Salient Regions | Type | Journal | ||
Year | 2008 | Publication | EURASIP Journal on Advances in Signal Processing, vol. 2008, article ID451389, 11 pages | Abbreviated Journal | |
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Notes | MILAB;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPR2008b | Serial | 960 | ||
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Author | Sergio Escalera; Oriol Pujol; Petia Radeva | ||||
Title | Sub-Class Error-Correcting Output Codes | Type | Book Chapter | ||
Year | 2008 | Publication | Computer Vision Systems. 6th International Conference | Abbreviated Journal | |
Volume | 5008 | Issue | Pages | 494–504 | |
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Address | Santorini (Greece) | ||||
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Area | Expedition | Conference | ICVS | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPR2008c | Serial | 963 | ||
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Author | Sergio Escalera; Oriol Pujol; Petia Radeva | ||||
Title | Loss-Weighted Decoding for Error-Correcting Output Coding | Type | Conference Article | ||
Year | 2008 | Publication | 3rd International Conference on Computer Vision Theory and Applications, | Abbreviated Journal | |
Volume | 2 | Issue | Pages | 117–122 | |
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Address | Madeira (Portugal) | ||||
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Area | Expedition | Conference | VISAPP | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPR2008a | Serial | 964 | ||
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Author | Sergio Escalera; Oriol Pujol; J. Mauri; Petia Radeva | ||||
Title | IVUS Tissue Characterization with Sub-class Error-correcting Output Codes | Type | Conference Article | ||
Year | 2008 | Publication | Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on, pp. 1–8, 23–28 juny 2008. | Abbreviated Journal | |
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Abstract | Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on Radio Frequency, texture-based, slope-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multi-class learning techniques. In this context, we propose a strategy to model multi-class classification tasks using sub-classes information in the ECOC framework. The new strategy splits the classes into different subsets according to the applied base classifier. Complex IVUS data sets containing overlapping data are learnt by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. The method automatically characterizes different tissues, showing performance improvements over the state-of-the-art ECOC techniques for different base classifiers and feature sets. | ||||
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Area | Expedition | Conference | CVPR | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPM2008 | Serial | 1041 | ||
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Author | Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva | ||||
Title | Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes | Type | Conference Article | ||
Year | 2008 | Publication | Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. | Abbreviated Journal | |
Volume | 2 | Issue | Pages | 12–17 | |
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Abstract | 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. | ||||
Address | Varna (Bulgaria) | ||||
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Area | Expedition | Conference | IS’08 | ||
Notes | MILAB; OR;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPL2008 | Serial | 1042 | ||
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Author | Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin | ||||
Title | Subclass Problem-Dependent Design for Error-Correcting Output Codes | Type | Journal | ||
Year | 2008 | Publication | IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(6):1041–1054 | Abbreviated Journal | |
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Notes | MILAB;HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ ETP2008 | Serial | 951 | ||
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Author | Sergio Escalera | ||||
Title | Coding and Decoding Design of ECOCs for Multi-Class Pattern and Object Recognition | Type | Miscellaneous | ||
Year | 2008 | Publication | Abbreviated Journal | ||
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Notes | MILAB; HuPBA | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ Esc2008a | Serial | 1106 | ||
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Author | Sergio Escalera | ||||
Title | Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition A | Type | Book Whole | ||
Year | 2008 | Publication | PhD Thesis, Universitat de Barcelona-CVC | Abbreviated Journal | |
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Abstract | Many real problems require multi-class decisions. In the Pattern Recognition field,
many techniques have been proposed to deal with the binary problem. However, the extension of many 2-class classifiers to the multi-class case is a hard task. In this sense, Error-Correcting Output Codes (ECOC) demonstrated to be a powerful tool to combine any number of binary classifiers to model multi-class problems. But there are still many open issues about the capabilities of the ECOC framework. In this thesis, the two main stages of an ECOC design are analyzed: the coding and the decoding steps. We present different problem-dependent designs. These designs take advantage of the knowledge of the problem domain to minimize the number of classifiers, obtaining a high classification performance. On the other hand, we analyze the ECOC codification in order to define new decoding rules that take full benefit from the information provided at the coding step. Moreover, as a successful classification requires a rich feature set, new feature detection/extraction techniques are presented and evaluated on the new ECOC designs. The evaluation of the new methodology is performed on different real and synthetic data sets: UCI Machine Learning Repository, handwriting symbols, traffic signs from a Mobile Mapping System, Intravascular Ultrasound images, Caltech Repository data set or Chaga’s disease data set. The results of this thesis show that significant performance improvements are obtained on both traditional coding and decoding ECOC designs when the new coding and decoding rules are taken into account. |
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Corporate Author | Thesis | Ph.D. thesis | |||
Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Petia Radeva;Oriol Pujol | |
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Notes | MILAB; HuPBA | Approved | no | ||
Call Number | Admin @ si @ Esc2008b | Serial | 2217 | ||
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