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Author |
Laura Igual; Joan Carles Soliva; Roger Gimeno; Sergio Escalera; Oscar Vilarroya; Petia Radeva |
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Title |
Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention Deficit Hyperactivity Disorder |
Type |
Conference Article |
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Year |
2012 |
Publication |
9th International Conference on Image Analysis and Recognition |
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Volume |
7325 |
Issue |
II |
Pages |
222-229 |
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Abstract |
Poster
Studies on volumetric brain Magnetic Resonance Imaging (MRI) showed neuroanatomical abnormalities in pediatric Attention-Deficit/Hyperactivity Disorder (ADHD). In particular, the diminished right caudate volume is one of the most replicated findings among ADHD samples in morphometric MRI studies. In this paper, we propose a fully-automatic method for internal caudate nucleus segmentation based on machine learning. Moreover, the ratio between right caudate body volume and the bilateral caudate body volume is applied in a ADHD diagnostic test. We separately validate the automatic internal segmentation of caudate in head and body structures and the diagnostic test using real data from ADHD and control subjects. As a result, we show accurate internal caudate segmentation and similar performance among the proposed automatic diagnostic test and the manual annotation. |
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Aveiro, Portugal |
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ISSN |
0302-9743 |
ISBN |
978-3-642-31297-7 |
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ICIAR |
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Notes |
OR; HuPBA; MILAB |
Approved |
no |
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Call Number |
Admin @ si @ ISG2012 |
Serial |
2059 |
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Author |
Ekaterina Zaytseva; Jordi Vitria |
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Title |
A search based approach to non maximum suppression in face detection |
Type |
Conference Article |
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Year |
2012 |
Publication |
19th IEEE International Conference on Image Processing |
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Poster
paper TA.P5.12
Face detectors typically produce a large number of false positives and this leads to the need to have a further non maximum suppression stage to eliminate multiple and spurious responses. This stage is based on considering spatial heuristics: true positive responses are selected by implicitly considering several restrictions on the spatial distribution of detector responses in natural images. In this paper we analyze the limitations of this approach and propose an efficient search method to overcome them. Results show how the application of this new non-maximum suppression approach to a simple face detector boosts its performance to state of the art results. |
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Orlando; USA; September 2012 |
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ISSN |
1522-4880 |
ISBN |
978-1-4673-2534-9 |
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ICIP |
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Notes |
OR;MV |
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no |
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Call Number |
Admin @ si @ ZaV2012 |
Serial |
2060 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Mohammad Rouhani; Antonio Lopez |
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Title |
Moving object detection from mobile platforms using stereo data registration |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Computational Intelligence paradigms in advanced pattern classification |
Abbreviated Journal |
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Volume |
386 |
Issue |
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Pages |
25-37 |
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Keywords |
pedestrian detection |
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Abstract |
This chapter describes a robust approach for detecting moving objects from on-board stereo vision systems. It relies on a feature point quaternion-based registration, which avoids common problems that appear when computationally expensive iterative-based algorithms are used on dynamic environments. The proposed approach consists of three main stages. Initially, feature points are extracted and tracked through consecutive 2D frames. Then, a RANSAC based approach is used for registering two point sets, with known correspondences in the 3D space. The computed 3D rigid displacement is used to map two consecutive 3D point clouds into the same coordinate system by means of the quaternion method. Finally, moving objects correspond to those areas with large 3D registration errors. Experimental results show the viability of the proposed approach to detect moving objects like vehicles or pedestrians in different urban scenarios. |
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Springer Berlin Heidelberg |
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Editor |
Marek R. Ogiela; Lakhmi C. Jain |
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1860-949X |
ISBN |
978-3-642-24048-5 |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ SGD2012 |
Serial |
2061 |
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Author |
Pau Baiget; Carles Fernandez; Xavier Roca; Jordi Gonzalez |
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Title |
Trajectory-Based Abnormality Categorization for Learning Route Patterns in Surveillance |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Detection and Identification of Rare Audiovisual Cues, Studies in Computational Intelligence |
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Volume |
384 |
Issue |
3 |
Pages |
87-95 |
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Abstract |
The recognition of abnormal behaviors in video sequences has raised as a hot topic in video understanding research. Particularly, an important challenge resides on automatically detecting abnormality. However, there is no convention about the types of anomalies that training data should derive. In surveillance, these are typically detected when new observations differ substantially from observed, previously learned behavior models, which represent normality. This paper focuses on properly defining anomalies within trajectory analysis: we propose a hierarchical representation conformed by Soft, Intermediate, and Hard Anomaly, which are identified from the extent and nature of deviation from learned models. Towards this end, a novel Gaussian Mixture Model representation of learned route patterns creates a probabilistic map of the image plane, which is applied to detect and classify anomalies in real-time. Our method overcomes limitations of similar existing approaches, and performs correctly even when the tracking is affected by different sources of noise. The reliability of our approach is demonstrated experimentally. |
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Springer Berlin Heidelberg |
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1860-949X |
ISBN |
978-3-642-24033-1 |
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ISE |
Approved |
no |
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Call Number |
Admin @ si @ BFR2012 |
Serial |
2062 |
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Author |
Joost Van de Weijer; Robert Benavente; Maria Vanrell; Cordelia Schmid; Ramon Baldrich; Jacob Verbeek; Diane Larlus |
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Title |
Color Naming |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Color in Computer Vision: Fundamentals and Applications |
Abbreviated Journal |
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Volume |
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Issue |
17 |
Pages |
287-317 |
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Publisher |
John Wiley & Sons, Ltd. |
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Editor |
Theo Gevers;Arjan Gijsenij;Joost Van de Weijer;Jan-Mark Geusebroek |
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CIC |
Approved |
no |
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Call Number |
Admin @ si @ WBV2012 |
Serial |
2063 |
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Author |
Xavier Perez Sala; Laura Igual; Sergio Escalera; Cecilio Angulo |
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Title |
Uniform Sampling of Rotations for Discrete and Continuous Learning of 2D Shape Models |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Vision Robotics: Technologies for Machine Learning and Vision Applications |
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Volume |
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Issue |
2 |
Pages |
23-42 |
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Abstract |
Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis. |
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IGI-Global |
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Notes |
MILAB;HuPBA |
Approved |
no |
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Call Number |
Admin @ si @ PIE2012 |
Serial |
2064 |
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Author |
Sergio Escalera; Josep Moya; Laura Igual; Veronica Violant; Maria Teresa Anguera |
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Title |
Análisis Comportamental Automatizado de TDAH: la Influencia de la Variable Motivación |
Type |
Conference Article |
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Year |
2012 |
Publication |
IPSI – Cosmocaixa, Jornadas "Empremtes del present, efectes en la psicoanàlisi, la cultura i la societat |
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Poster |
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IPSI |
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Notes |
MILAB; HuPBA; OR |
Approved |
no |
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Call Number |
Admin @ si @ EMI2012b |
Serial |
2065 |
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Permanent link to this record |
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Author |
Laura Igual; Joan Carles Soliva; Antonio Hernandez; Sergio Escalera; Oscar Vilarroya; Petia Radeva |
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Title |
A Supervised Graph-cut Deformable Model for Brain MRI Segmentation. Deformation models: tracking, animation and applications |
Type |
Book Chapter |
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Year |
2012 |
Publication |
Computational Vision and Biomechanics |
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Springer Netherlands |
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LNCS |
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ISBN |
978-94-007-5445-4 |
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Notes |
MILAB;HuPBA |
Approved |
no |
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Call Number |
Admin @ si @ ISH2012b |
Serial |
2066 |
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Author |
Angel Sappa; George A. Triantafyllid |
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Title |
Computer Graphics and Imaging |
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Book Whole |
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Year |
2012 |
Publication |
Computer Graphics and Imaging |
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Crete, Greece |
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978-0-88986-921-9 |
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ADAS |
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no |
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Call Number |
Admin @ si @ Sap2012 |
Serial |
2067 |
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Author |
Theo Gevers; Arjan Gijsenij; Joost Van de Weijer; J.M. Geusebroek |
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Title |
Color in Computer Vision: Fundamentals and Applications |
Type |
Book Whole |
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Year |
2012 |
Publication |
Color in Computer Vision: Fundamentals and Applications |
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The Wiley-IS&T Series in Imaging Science and Technology |
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978-0-470-89084-4 |
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ALTRES;ISE |
Approved |
no |
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Call Number |
Admin @ si @ GGG2012a |
Serial |
2068 |
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Author |
Mario Hernandez; Joao Sanchez; Jordi Vitria |
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Title |
Selected papers from Iberian Conference on Pattern Recognition and Image Analysis |
Type |
Book Whole |
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Year |
2012 |
Publication |
Pattern Recognition |
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Volume |
45 |
Issue |
9 |
Pages |
3047-3582 |
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0031-3203 |
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OR;MV |
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no |
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Admin @ si @ HSV2012 |
Serial |
2069 |
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Author |
Ernest Valveny; Robert Benavente; Agata Lapedriza; Miquel Ferrer; Jaume Garcia; Gemma Sanchez |
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Title |
Adaptation of a computer programming course to the EXHE requirements: evaluation five years later |
Type |
Miscellaneous |
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Year |
2012 |
Publication |
European Journal of Engineering Education |
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37 |
Issue |
3 |
Pages |
243-254 |
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DAG; CIC; OR; invisible;MV |
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no |
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Admin @ si @ VBL2012 |
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2070 |
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Author |
Michal Drozdzal; Petia Radeva; Santiago Segui; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
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Title |
System and method for automatic detection of in vivo contraction video sequences |
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Patent |
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2012 |
Publication |
US20120057766 |
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Publication date: 2012/3/8 |
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MILAB; OR;MV |
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no |
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Admin @ si @ DRS2012b |
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2071 |
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Author |
Marçal Rusiñol; Lluis Pere de las Heras; Joan Mas; Oriol Ramos Terrades; Dimosthenis Karatzas; Anjan Dutta; Gemma Sanchez; Josep Llados |
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Title |
CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012 |
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Conference Article |
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2012 |
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Conference and Labs of the Evaluation Forum |
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Roma |
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CLEF |
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DAG |
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no |
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Admin @ si @ RHM2012 |
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2072 |
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Author |
Shida Beigpour |
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Title |
Illumination and object reflectance modeling |
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Book Whole |
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2013 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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More realistic and accurate models of the scene illumination and object reflectance can greatly improve the quality of many computer vision and computer graphics tasks. Using such model, a more profound knowledge about the interaction of light with object surfaces can be established which proves crucial to a variety of computer vision applications. In the current work, we investigate the various existing approaches to illumination and reflectance modeling and form an analysis on their shortcomings in capturing the complexity of real-world scenes. Based on this analysis we propose improvements to different aspects of reflectance and illumination estimation in order to more realistically model the real-world scenes in the presence of complex lighting phenomena (i.e, multiple illuminants, interreflections and shadows). Moreover, we captured our own multi-illuminant dataset which consists of complex scenes and illumination conditions both outdoor and in laboratory conditions. In addition we investigate the use of synthetic data to facilitate the construction of datasets and improve the process of obtaining ground-truth information. |
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Barcelona |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Joost Van de Weijer;Ernest Valveny |
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CIC |
Approved |
no |
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Admin @ si @ Bei2013 |
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2267 |
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