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Author |
T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades |
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Title |
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval |
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Conference Article |
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2008 |
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Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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191-197 |
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Nara, Japan |
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Admin @ si @ NTR2008a |
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1873 |
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Author |
H. Chouaib; Salvatore Tabbone; Oriol Ramos Terrades; F. Cloppet; N. Vincent; A.T. Thierry Paquet |
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Title |
Sélection de Caractéristiques à partir d'un algorithme génétique et d'une combinaison de classifieurs Adaboost |
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Conference Article |
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2008 |
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Colloque International Francophone sur l'Ecrit et le Document |
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181-186 |
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Rouen, France |
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CIFED |
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DAG |
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Admin @ si @ CTR2008 |
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1874 |
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Author |
T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades; A.T. Thierry |
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Title |
Proposition d'un descripteur de formes et du modèle vectoriel pour la recherche de symboles |
Type |
Conference Article |
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2008 |
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Colloque International Francophone sur l'Ecrit et le Document |
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79-84 |
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Rouen, France |
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DAG |
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Admin @ si @ NTR2008b |
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1875 |
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Author |
Salvatore Tabbone; Oriol Ramos Terrades; S. Barrat |
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Title |
Histogram of radon transform. A useful descriptor for shape retrieval |
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Conference Article |
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2008 |
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19th International Conference on Pattern Recognition |
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1-4 |
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Tampa, Florida |
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ICPR |
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DAG |
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no |
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Admin @ si @ TRB2008 |
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1876 |
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Author |
Rozenn Dhayot; Fernando Vilariño; Gerard Lacey |
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Title |
Improving the Quality of Color Colonoscopy Videos |
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Journal Article |
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Year |
2008 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
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139429 |
Issue |
1 |
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1-9 |
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800 |
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MV;SIAI |
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no |
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Call Number |
fernando @ fernando @ |
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2422 |
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Author |
Enric Marti; Xavier Binefa; G.EstapeRV |
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Title |
Caronte, plataforma para la gestión de la actividad docente de una asignatura. Análisis de su impacto en ingenierías, para su adaptación al EEES |
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Miscellaneous |
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Year |
2008 |
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, Ministerio de Ciencia e Innovacion, DGU |
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Direccion General de Universidades |
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IAM;OR;RV |
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no |
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Call Number |
IAM @ iam @ MBE2008 |
Serial |
1589 |
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Author |
Sergio Escalera |
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Title |
Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition A |
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Book Whole |
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Year |
2008 |
Publication |
PhD Thesis, Universitat de Barcelona-CVC |
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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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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Petia Radeva;Oriol Pujol |
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MILAB; HuPBA |
Approved |
no |
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Call Number |
Admin @ si @ Esc2008b |
Serial |
2217 |
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Author |
Angel Sappa; Fadi Dornaika; Daniel Ponsa; David Geronimo; Antonio Lopez |
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Title |
An Efficient Approach to Onboard Stereo Vision System Pose Estimation |
Type |
Journal Article |
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Year |
2008 |
Publication |
IEEE Transactions on Intelligent Transportation Systems |
Abbreviated Journal |
TITS |
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Volume |
9 |
Issue |
3 |
Pages |
476–490 |
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Keywords |
Camera extrinsic parameter estimation, ground plane estimation, onboard stereo vision system |
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Abstract |
This paper presents an efficient technique for estimating the pose of an onboard stereo vision system relative to the environment’s dominant surface area, which is supposed to be the road surface. Unlike previous approaches, it can be used either for urban or highway scenarios since it is not based on a specific visual traffic feature extraction but on 3-D raw data points. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact 2-D representation of the original 3-D data points is computed. Then, a RANdom SAmple Consensus (RANSAC) based least-squares approach is used to fit a plane to the road. Fast RANSAC fitting is obtained by selecting points according to a probability function that takes into account the density of points at a given depth. Finally, stereo camera height and pitch angle are computed related to the fitted road plane. The proposed technique is intended to be used in driverassistance systems for applications such as vehicle or pedestrian detection. Experimental results on urban environments, which are the most challenging scenarios (i.e., flat/uphill/downhill driving, speed bumps, and car’s accelerations), are presented. These results are validated with manually annotated ground truth. Additionally, comparisons with previous works are presented to show the improvements in the central processing unit processing time, as well as in the accuracy of the obtained results. |
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IEEE |
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ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ SDP2008 |
Serial |
1000 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Facial Expression Recognition for HCI Applications |
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Book Chapter |
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Year |
2008 |
Publication |
Encyclopedia of Artificial Intelligence |
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Volume |
II |
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Pages |
625–631 |
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IGI–Global Publisher |
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Editor |
Rabuñal |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ DoR2008c |
Serial |
1034 |
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Author |
Angel Sappa; Boris X. Vintimilla |
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Title |
Edge Point Linking by Means of Global and Local Schemes |
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Book Chapter |
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Year |
2008 |
Publication |
in Signal Processing for Image Enhancement and Multimedia Processing |
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Volume |
11 |
Issue |
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Pages |
115–125 |
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Springer |
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Editor |
E. Damiani |
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ADAS |
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no |
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ADAS @ adas @ SaV2008 |
Serial |
938 |
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Author |
Agata Lapedriza; Santiago Segui; David Masip; Jordi Vitria |
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Title |
A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning |
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Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, |
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11 |
Issue |
3-4 |
Pages |
299-308 |
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Springer |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ LSM2008 |
Serial |
996 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition |
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Year |
2008 |
Publication |
Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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11 |
Issue |
3-4 |
Pages |
259–268 |
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Springer |
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OR;MV |
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BCNPCL @ bcnpcl @ RaV2008c |
Serial |
997 |
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Author |
F. Pla; Petia Radeva; Jordi Vitria |
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Title |
Non-parametric distance-based classification techniques and their applications |
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2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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11 |
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3-4 |
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223–225 |
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Springer |
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OR;MILAB;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ PRV2008 |
Serial |
999 |
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Author |
Santiago Segui; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
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Title |
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Computer Vision Systems. 6th International |
Abbreviated Journal |
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5008 |
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Pages |
251–260 |
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Abstract |
Wireless Video Capsule Endoscopy is a clinical technique consisting of the analysis of images from the intestine which are pro- vided by an ingestible device with a camera attached to it. In this paper we propose an automatic system to diagnose severe intestinal motility disfunctions using the video endoscopy data. The system is based on the application of computer vision techniques within a machine learn- ing framework in order to obtain the characterization of diverse motil- ity events from video sequences. We present experimental results that demonstrate the effectiveness of the proposed system and compare them with the ground-truth provided by the gastroenterologists. |
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Address |
Santorini (Greece) |
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Springer-Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
A. Gasteratos, M. Vincze, and J.K. Tsotsos |
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LNCS |
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ISBN |
978-3-540-79546-9 |
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800 |
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ICVS |
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Notes |
OR; MV; MILAB; SIAI |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ SIV2008; IAM @ iam @ SIV2008 |
Serial |
962 |
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| Permanent link to this record |
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Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
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5046 |
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Pages |
188–198 |
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Springer–Verlag |
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W. Liu, J. Llados, J.M. Ogier |
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LNCS |
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DAG |
Approved |
no |
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Call Number |
DAG @ dag @ RSL2008 |
Serial |
1099 |
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| Permanent link to this record |
