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Author |
Shida Beigpour |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Physics-based Reflectance Estimation Applied to Recoloring |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
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Volume |
137 |
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Computer Vision Center |
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Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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no |
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Admin @ si @ Bei2009 |
Serial |
2396 |
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Author |
Jaume Gibert |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Learning structural representations and graph matching paradigms in the context of object recognition |
Type |
Report |
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Year |
2009 |
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CVC Technical Report |
Abbreviated Journal |
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143 |
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Computer Vision Center |
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Master's thesis |
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DAG |
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no |
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Call Number |
Admin @ si @ Gib2009 |
Serial |
2397 |
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Author |
Jose Carlos Rubio |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Graph matching based on graphical models with application to vehicle tracking and classification at night |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
144 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
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no |
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Call Number |
Admin @ si @ Rub2009 |
Serial |
2398 |
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Author |
Farshad Nourbakhsh |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Colour logo recognition |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
145 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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DAG |
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no |
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Call Number |
Admin @ si @ Nou2009 |
Serial |
2399 |
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Author |
Enric Sala |
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Title |
Off-line person-dependent signature verification |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
146 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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no |
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Call Number |
Admin @ si @ Sal2009 |
Serial |
2400 |
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Author |
Wenjuan Gong |
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Title |
Action priors for human pose tracking by particle filter |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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ISE |
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no |
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Call Number |
Admin @ si @ Gon2009 |
Serial |
2401 |
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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
148 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
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Corporate Author |
Computer Vision Center |
Thesis |
Ph.D. thesis |
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Place of Publication |
Bellaterra, Barcelona |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Che2009 |
Serial |
2402 |
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Permanent link to this record |
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Author |
Javier Marin |
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Title |
Virtual learning for real testing |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
150 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
bell |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Mar2009c |
Serial |
2403 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title |
Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? |
Type |
Journal Article |
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Year |
2009 |
Publication |
Gastrointestinal Endoscopy |
Abbreviated Journal |
GI |
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Volume |
69 |
Issue |
5 |
Pages |
370 |
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800 |
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Notes |
MV;SIAI |
Approved |
no |
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Call Number |
fernando @ fernando @ |
Serial |
2420 |
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Permanent link to this record |
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Author |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
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Title |
Indistinct frame detection in colonoscopy videos |
Type |
Conference Article |
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Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
Abbreviated Journal |
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Pages |
47-52 |
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800 |
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MV |
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no |
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Call Number |
fernando @ fernando @ |
Serial |
2424 |
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Permanent link to this record |
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Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
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Title |
Texture-based Polyp Detection in Colonoscopy |
Type |
Journal Article |
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Year |
2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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800 |
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MV;SIAI |
Approved |
no |
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Call Number |
fernando @ fernando @ |
Serial |
2428 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Gerard Lacey |
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Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
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Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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800 |
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MV;SIAI |
Approved |
no |
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Call Number |
fernando @ fernando @ |
Serial |
2430 |
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Permanent link to this record |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
On the use of textural features for writer identification in old handwritten music scores |
Type |
Conference Article |
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Year |
2009 |
Publication |
10th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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Pages |
996 - 1000 |
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Abstract |
Writer identification consists in determining the writer of a piece of handwriting from a set of writers. In this paper we present a system for writer identification in old handwritten music scores which uses only music notation to determine the author. The steps of the proposed system are the following. First of all, the music sheet is preprocessed for obtaining a music score without the staff lines. Afterwards, four different methods for generating texture images from music symbols are applied. Every approach uses a different spatial variation when combining the music symbols to generate the textures. Finally, Gabor filters and Grey-scale Co-ocurrence matrices are used to obtain the features. The classification is performed using a k-NN classifier based on Euclidean distance. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving encouraging identification rates. |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Barcelona |
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ISSN |
1520-5363 |
ISBN |
978-1-4244-4500-4 |
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ICDAR |
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Notes |
DAG |
Approved |
no |
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Call Number |
DAG @ dag @ FLS2009b |
Serial |
1223 |
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Permanent link to this record |
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Author |
David Rotger |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Analysis and Multi-Modal Fusion of coronary Images |
Type |
Book Whole |
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Year |
2009 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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The framework of this thesis is to study in detail different techniques and tools for medical image registration in order to ease the daily life of clinical experts in cardiology. The first aim of this thesis is providing computer tools for
fusing IVUS and angiogram data is of high clinical interest to help the physicians locate in IVUS data and decide which lesion is observed, how long it is, how far from a bifurcation or another lesions stays, etc. This thesis proves and
validates that we can segment the catheter path in angiographies using geodesic snakes (based on fast marching algorithm), a three-dimensional reconstruction of the catheter inspired in stereo vision and a new technique to fuse IVUS
and angiograms that establishes exact correspondences between them. We have developed a new workstation called iFusion that has four strong advantages: registration of IVUS and angiographic images with sub-pixel precision, it works on- and off-line, it is independent on the X-ray system and there is no need of daily calibration. The second aim of the thesis is devoted to developing a computer-aided analysis of IVUS for image-guided intervention. We have designed, implemented
and validated a robust algorithm for stent extraction and reconstruction from IVUS videos. We consider a very special and recent kind of stents, bioabsorbable stents that represent a great clinical challenge due to their property to be
absorbed by time and thus avoiding the “danger” of neostenosis as one of the main problems of metallic stents. We present a new and very promising algorithm based on an optimized cascade of multiple classifiers to automatically detect individual stent struts of a very novel bioabsorbable drug eluting coronary stent. This problem represents a very challenging target given the variability in contrast, shape and grey levels of the regions to be detected, what is
denoted by the high variability between the specialists (inter-observer variability of 0.14~$\pm$0.12). The obtained results of the automatic strut detection are within the inter-observer variability. |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Barcelona (Espanya) |
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Thesis |
Ph.D. thesis |
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Publisher |
Ediciones Graficas Rey |
Place of Publication |
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Editor |
Petia Radeva |
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Approved |
no |
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Call Number |
Admin @ si @ Rot2009 |
Serial |
1261 |
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Permanent link to this record |
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Author |
Xavier Baro |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Probabilistic Darwin Machines: A New Approach to Develop Evolutionary Object Detection |
Type |
Book Whole |
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Year |
2009 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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Ever since computers were invented, we have wondered whether they might perform some of the human quotidian tasks. One of the most studied and still nowadays less understood problem is the capacity to learn from our experiences and how we generalize the knowledge that we acquire. One of that unaware tasks for the persons and that more interest is awakening in different scientific areas since the beginning, is the one that is known as pattern recognition. The creation of models that represent the world that surrounds us, help us for recognizing objects in our environment, to predict situations, to identify behaviors... All this information allows us to adapt ourselves and to interact with our environment. The capacity of adaptation of individuals to their environment has been related to the amount of patterns that are capable of identifying.
This thesis faces the pattern recognition problem from a Computer Vision point of view, taking one of the most paradigmatic and extended approaches to object detection as starting point. After studying this approach, two weak points are identified: The first makes reference to the description of the objects, and the second is a limitation of the learning algorithm, which hampers the utilization of best descriptors.
In order to address the learning limitations, we introduce evolutionary computation techniques to the classical object detection approach.
After testing the classical evolutionary approaches, such as genetic algorithms, we develop a new learning algorithm based on Probabilistic Darwin Machines, which better adapts to the learning problem. Once the learning limitation is avoided, we introduce a new feature set, which maintains the benefits of the classical feature set, adding the ability to describe non localities. This combination of evolutionary learning algorithm and features is tested on different public data sets, outperforming the results obtained by the classical approach. |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Barcelona (Spain) |
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Thesis |
Ph.D. thesis |
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Publisher |
Ediciones Graficas Rey |
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Editor |
Jordi Vitria |
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|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
OR;HuPBA;MV |
Approved |
no |
|
|
Call Number |
BCNPCL @ bcnpcl @ Bar2009 |
Serial |
1262 |
|
Permanent link to this record |