Records |
Author |
Sergio Escalera; Xavier Baro; Oriol Pujol; Jordi Vitria; Petia Radeva |
Title |
Traffic-Sign Recognition Systems |
Type |
Book Whole |
Year |
2011 |
Publication |
SpringerBriefs in Computer Science |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
5-13 |
Keywords |
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Abstract |
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Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer London |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Series Editor |
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Series Title |
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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 |
978-1-4471-2244-9 |
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Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB; OR;HuPBA;MV |
Approved |
no |
Call Number |
Admin @ si @ EBP2011 |
Serial |
1801 |
Permanent link to this record |
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Author |
Miguel Angel Bautista; Sergio Escalera; Xavier Baro; Oriol Pujol; Jordi Vitria; Petia Radeva |
Title |
On the Design of Low Redundancy Error-Correcting Output Codes |
Type |
Book Chapter |
Year |
2011 |
Publication |
Ensembles in Machine Learning Applications |
Abbreviated Journal |
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Volume |
373 |
Issue |
2 |
Pages |
21-38 |
Keywords |
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Abstract |
The classification of large number of object categories is a challenging trend in the Pattern Recognition field. In the literature, this is often addressed using an ensemble of classifiers . In this scope, the Error-Correcting Output Codes framework has demonstrated to be a powerful tool for combining classifiers. However, most of the state-of-the-art ECOC approaches use a linear or exponential number of classifiers, making the discrimination of a large number of classes unfeasible. In this paper, we explore and propose a compact design of ECOC in terms of the number of classifiers. Evolutionary computation is used for tuning the parameters of the classifiers and looking for the best compact ECOC code configuration. The results over several public UCI data sets and different multi-class Computer Vision problems show that the proposed methodology obtains comparable (even better) results than the state-of-the-art ECOC methodologies with far less number of dichotomizers. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1860-949X |
ISBN |
978-3-642-22909-1 |
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Conference |
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MILAB; OR;HuPBA;MV |
Approved |
no |
Call Number |
Admin @ si @ BEB2011b |
Serial |
1886 |
Permanent link to this record |
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|
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Author |
Miguel Angel Bautista; Oriol Pujol; Xavier Baro; Sergio Escalera |
Title |
Introducing the Separability Matrix for Error Correcting Output Codes Coding |
Type |
Conference Article |
Year |
2011 |
Publication |
10th International Conference on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
Issue |
|
Pages |
227-236 |
Keywords |
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Abstract |
Error Correcting Output Codes (ECOC) have demonstrate to be a powerful tool for treating multi-class problems. Nevertheless, predefined ECOC designs may not benefit from Error-correcting principles for particular multi-class data. In this paper, we introduce the Separability matrix as a tool to study and enhance designs for ECOC coding. In addition, a novel problem-dependent coding design based on the Separability matrix is tested over a wide set of challenging multi-class problems, obtaining very satisfactory results. |
Address |
Napoles, Italy |
Corporate Author |
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Thesis |
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Publisher |
Springer-Verlag Berlin, Heidelberg |
Place of Publication |
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Editor |
Carlo Sansone; Josef Kittler; Fabio Roli |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21556-8 |
Medium |
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Expedition |
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Conference |
MCS |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB; OR;HuPBA;MV |
Approved |
no |
Call Number |
Admin @ si @ BPB2011b |
Serial |
1887 |
Permanent link to this record |
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Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
Type |
Patent |
Year |
2011 |
Publication |
US 61/592,786 |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
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Address |
Given Imaging |
Corporate Author |
US Patent Office |
Thesis |
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MILAB; OR;MV |
Approved |
no |
Call Number |
Admin @ si @ DSR2011 |
Serial |
1897 |
Permanent link to this record |
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Author |
Jose Seabra; Francesco Ciompi; Oriol Pujol; J. Mauri; Petia Radeva; Joao Sanchez |
Title |
Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound |
Type |
Journal Article |
Year |
2011 |
Publication |
IEEE Transactions on Biomedical Engineering |
Abbreviated Journal |
TBME |
Volume |
58 |
Issue |
5 |
Pages |
1314-1324 |
Keywords |
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Abstract |
Vulnerable plaques are the major cause of carotid and coronary vascular problems, such as heart attack or stroke. A correct modeling of plaque echomorphology and composition can help the identification of such lesions. The Rayleigh distribution is widely used to describe (nearly) homogeneous areas in ultrasound images. Since plaques may contain tissues with heterogeneous regions, more complex distributions depending on multiple parameters are usually needed, such as Rice, K or Nakagami distributions. In such cases, the problem formulation becomes more complex, and the optimization procedure to estimate the plaque echomorphology is more difficult. Here, we propose to model the tissue echomorphology by means of a mixture of Rayleigh distributions, known as the Rayleigh mixture model (RMM). The problem formulation is still simple, but its ability to describe complex textural patterns is very powerful. In this paper, we present a method for the automatic estimation of the RMM mixture parameters by means of the expectation maximization algorithm, which aims at characterizing tissue echomorphology in ultrasound (US). The performance of the proposed model is evaluated with a database of in vitro intravascular US cases. We show that the mixture coefficients and Rayleigh parameters explicitly derived from the mixture model are able to accurately describe different plaque types and to significantly improve the characterization performance of an already existing methodology. |
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MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ SCP2011 |
Serial |
1712 |
Permanent link to this record |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
Title |
Human Activity Recognition from Accelerometer Data using a Wearable Device |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
289-296 |
Keywords |
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Abstract |
Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous computing, context-aware computing and multimedia. Recently, recognizing everyday life activities becomes one of the challenges for pervasive computing. In our work, we developed a novel wearable system easy to use and comfortable to bring. Our wearable system is based on a new set of 20 computationally efficient features and the Random Forest classifier. We obtain very encouraging results with classification accuracy of human activities recognition of up to 94%. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
Vitria, Jordi; Sanches, João Miguel Raposo; Hernández, Mario |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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Area |
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Expedition |
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Conference |
IbPRIA |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPR2011a |
Serial |
1735 |
Permanent link to this record |
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Author |
Francesco Ciompi; Oriol Pujol; Carlo Gatta; Xavier Carrillo; J. Mauri; Petia Radeva |
Title |
A Holistic Approach for the Detection of Media-Adventitia Border in IVUS |
Type |
Conference Article |
Year |
2011 |
Publication |
14th International Conference on Medical Image Computing and Computer Assisted Intervention |
Abbreviated Journal |
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Volume |
6893 |
Issue |
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Pages |
401-408 |
Keywords |
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Abstract |
In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm. |
Address |
Toronto, Canada |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-23625-9 |
Medium |
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Area |
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Expedition |
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Conference |
MICCAI |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPG2011 |
Serial |
1739 |
Permanent link to this record |
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Author |
Marina Alberti; Carlo Gatta; Simone Balocco; Francesco Ciompi; Oriol Pujol; Joana Silva; Xavier Carrillo; Petia Radeva |
Title |
Automatic Branching Detection in IVUS Sequences |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
126-133 |
Keywords |
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Abstract |
Atherosclerosis is a vascular pathology affecting the arterial walls, generally located in specific vessel sites, such as bifurcations. In this paper, for the first time, a fully automatic approach for the detection of bifurcations in IVUS pullback sequences is presented. The method identifies the frames and the angular sectors in which a bifurcation is visible. This goal is achieved by applying a classifier to a set of textural features extracted from each image of an IVUS pullback. A comparison between two state-of-the-art classifiers is performed, AdaBoost and Random Forest. A cross-validation scheme is applied in order to evaluate the performances of the approaches. The obtained results are encouraging, showing a sensitivity of 75% and an accuracy of 94% by using the AdaBoost algorithm. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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Conference |
IbPRIA |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ AGB2011 |
Serial |
1740 |
Permanent link to this record |
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Author |
Simone Balocco; Carlo Gatta; Francesco Ciompi; Oriol Pujol; Xavier Carrillo; J. Mauri; Petia Radeva |
Title |
Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
556-563 |
Keywords |
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Abstract |
The assessment of arterial luminal area, performed by IVUS analysis, is a clinical index used to evaluate the degree of coronary artery disease. In this paper we propose a novel approach to automatically segment the vessel lumen, which combines model-based temporal information extracted from successive frames of the sequence, with spatial classification using the Growcut algorithm. The performance of the method is evaluated by an in vivo experiment on 300 IVUS frames. The automatic and manual segmentation performances in general vessel and stent frames are comparable. The average segmentation error in vessel, stent and bifurcation frames are 0.17±0.08 mm, 0.18±0.07 mm and 0.31±0.12 mm respectively. |
Address |
Las Palmas de Gran Canaria. Spain |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
Jordi Vitria; Joao Miguel Raposo; Mario Hernandez |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-21256-7 |
Medium |
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Conference |
IbPRIA |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ BGC2011a |
Serial |
1741 |
Permanent link to this record |
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Author |
Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin |
Title |
Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes |
Type |
Book Chapter |
Year |
2011 |
Publication |
Innovations in Intelligent Image Analysis |
Abbreviated Journal |
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Volume |
339 |
Issue |
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Pages |
7-29 |
Keywords |
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Abstract |
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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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
H. Kawasnicka; L.Jain |
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Edition |
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ISSN |
1860-949X |
ISBN |
978-3-642-17933-4 |
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MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ ETP2011 |
Serial |
1746 |
Permanent link to this record |
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Author |
Antonio Hernandez; Carlo Gatta; Laura Igual; Sergio Escalera; Petia Radeva |
Title |
Automatic Angiography Segmentation Based on Improved Graph-cut |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
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TICGI |
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MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ HGI2011 |
Serial |
1754 |
Permanent link to this record |
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Author |
Laura Igual; Antonio Hernandez; Sergio Escalera; Miguel Reyes; Josep Moya; Joan Carles Soliva; Jordi Faquet; Oscar Vilarroya; Petia Radeva |
Title |
Automatic Techniques for Studying Attention-Deficit/Hyperactivity Disorder |
Type |
Conference Article |
Year |
2011 |
Publication |
Jornada TIC Salut Girona |
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TICGI |
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MILAB;HuPBA |
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no |
Call Number |
Admin @ si @ IHE2011 |
Serial |
1755 |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
Title |
Approximate Convex Hulls Family for One-Class Cassification |
Type |
Conference Article |
Year |
2011 |
Publication |
10th International Workshop on Multiple Classifier Systems |
Abbreviated Journal |
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Volume |
6713 |
Issue |
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Pages |
106-115 |
Keywords |
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Abstract |
In this work, a new method for one-class classification based on the Convex Hull geometric structure is proposed. The new method creates a family of convex hulls able to fit the geometrical shape of the training points. The increased computational cost due to the creation of the convex hull in multiple dimensions is circumvented using random projections. This provides an approximation of the original structure with multiple bi-dimensional views. In the projection planes, a mechanism for noisy points rejection has also been elaborated and evaluated. Results show that the approach performs considerably well with respect to the state the art in one-class classification. |
Address |
Napoli, Italy |
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Publisher |
Springer Berlin Heidelberg |
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Editor |
Carlo Sansone; Josef Kittler; Fabio Roli |
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LNCS |
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0302-9743 |
ISBN |
978-3-642-21556-8 |
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MCS |
Notes ![sorted by Notes field, ascending order (up)](img/sort_asc.gif) |
MILAB;HuPBA |
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no |
Call Number |
Admin @ si @ CPR2011b |
Serial |
1761 |
Permanent link to this record |
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Author |
Pierluigi Casale; Oriol Pujol; Petia Radeva |
Title |
User Verification From Walking Activity. First Steps Towards a Personal Verification System |
Type |
Conference Article |
Year |
2011 |
Publication |
1st International Conference on Pervasive and Embedded Computing and Communication Systems |
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Algarve, Portugal |
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PECCS |
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MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPR2011c |
Serial |
1762 |
Permanent link to this record |
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Author |
Francesco Ciompi; Oriol Pujol; Simone Balocco; Xavier Carrillo; J. Mauri; Petia Radeva |
Title |
Automatic Key Frames Detection in Intravascular Ultrasound Sequences |
Type |
Conference Article |
Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computing and Visualization for Intra Vascular Imaging |
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We present a method for the automatic detection of key frames in Intravascular Ultrasound (IVUS) sequences. The key frames are markers delimiting morphological changes along the vessel. The aim of defining key frames is two-fold: (1) they allow to summarize the content of the pullback into few representative frames; (2) they represent the basis for the automatic detection of clinical events in IVUS. The proposed approach achieved a compression ratio of 0.016 with respect to the original sequence and an average inter-frame distance of 61.76 frame, minimizing the number of missed clinical events. |
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CVII |
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MILAB;HuPBA |
Approved |
no |
Call Number |
Admin @ si @ CPB2011 |
Serial |
1767 |
Permanent link to this record |