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Author | Sergio Vera; Debora Gil; Antonio Lopez; Miguel Angel Gonzalez Ballester | ||||
Title | Multilocal Creaseness Measure | Type | Journal | ||
Year | 2012 | Publication | The Insight Journal | Abbreviated Journal | IJ |
Volume | Issue | Pages | |||
Keywords | Ridges, Valley, Creaseness, Structure Tensor, Skeleton, | ||||
Abstract | This document describes the implementation using the Insight Toolkit of an algorithm for detecting creases (ridges and valleys) in N-dimensional images, based on the Local Structure Tensor of the image. In addition to the filter used to calculate the creaseness image, a filter for the computation of the structure tensor is also included in this submission. | ||||
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Corporate Author | Alma IT Systems | Thesis | |||
Publisher | Place of Publication | Editor | |||
Language | english | Summary Language | english | Original Title | |
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Area | Expedition | Conference | |||
Notes | IAM;ADAS; | Approved | no | ||
Call Number | IAM @ iam @ VGL2012 | Serial | 1840 | ||
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Author | Michal Drozdzal; Petia Radeva; Santiago Segui; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria | ||||
Title | System and Method for Improving a Discriminative Model | Type | Patent | ||
Year | 2012 | Publication | US 61/450,886 | Abbreviated Journal | |
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Address | Given Imaging | ||||
Corporate Author | US Patent Office | Thesis | |||
Publisher | Place of Publication | Editor | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | MILAB; OR;MV | Approved | no | ||
Call Number | Admin @ si @ DRS2012a | Serial | 1896 | ||
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Author | Antonio Hernandez; Nadezhda Zlateva; Alexander Marinov; Miguel Reyes; Petia Radeva; Dimo Dimov; Sergio Escalera | ||||
Title | Graph Cuts Optimization for Multi-Limb Human Segmentation in Depth Maps | Type | Conference Article | ||
Year | 2012 | Publication | 25th IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 726-732 | ||
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Abstract | We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps. First, from a set of random depth features, Random Forest is used to infer a set of label probabilities for each data sample. This vector of probabilities is used as unary term in α-β swap Graph-cuts algorithm. Moreover, depth of spatio-temporal neighboring data points are used as boundary potentials. Results on a new multi-label human depth data set show high performance in terms of segmentation overlapping of the novel methodology compared to classical approaches. | ||||
Address | Portland; Oregon; June 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE Xplore | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1063-6919 | ISBN | 978-1-4673-1226-4 | Medium | |
Area | Expedition | Conference | CVPR | ||
Notes | MILAB;HuPBA | Approved | no | ||
Call Number | Admin @ si @ HZM2012b | Serial | 2046 | ||
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Author | David Roche; Debora Gil; Jesus Giraldo | ||||
Title | Assessing agonist efficacy in an uncertain Em world | Type | Conference Article | ||
Year | 2012 | Publication | 40th Keystone Symposia on mollecular and celular biology | Abbreviated Journal | |
Volume | Issue | Pages | 79 | ||
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Abstract | The operational model of agonism has been widely used for the analysis of agonist action since its formulation in 1983. The model includes the Em parameter, which is defined as the maximum response of the system. The methods for Em estimation provide Em values not significantly higher than the maximum responses achieved by full agonists. However, it has been found that that some classes of compounds as, for instance, superagonists and positive allosteric modulators can increase the full agonist maximum response, implying upper limits for Em and thereby posing doubts on the validity of Em estimates. Because of the correlation between Em and operational efficacy, τ, wrong Em estimates will yield wrong τ estimates.
In this presentation, the operational model of agonism and various methods for the simulation of allosteric modulation will be analyzed. Alternatives for curve fitting will be presented and discussed. |
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Address | Fairmont Banff Springs, Banff, Alberta, Canada | ||||
Corporate Author | Keystone Symposia | Thesis | |||
Publisher | Keystone Symposia | Place of Publication | Editor | A. Christopoulus and M. Bouvier | |
Language | english | Summary Language | english | Original Title | |
Series Editor | Keystone Symposia | Series Title | Abbreviated Series Title | ||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | KSMCB | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ RGG2012 | Serial | 1855 | ||
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Author | Naveen Onkarappa; Sujay M. Veerabhadrappa; Angel Sappa | ||||
Title | Optical Flow in Onboard Applications: A Study on the Relationship Between Accuracy and Scene Texture | Type | Conference Article | ||
Year | 2012 | Publication | 4th International Conference on Signal and Image Processing | Abbreviated Journal | |
Volume | 221 | Issue | Pages | 257-267 | |
Keywords | |||||
Abstract | Optical flow has got a major role in making advanced driver assistance systems (ADAS) a reality. ADAS applications are expected to perform efficiently in all kinds of environments, those are highly probable, that one can drive the vehicle in different kinds of roads, times and seasons. In this work, we study the relationship of optical flow with different roads, that is by analyzing optical flow accuracy on different road textures. Texture measures such as TeX , TeX and TeX are evaluated for this purpose. Further, the relation of regularization weight to the flow accuracy in the presence of different textures is also analyzed. Additionally, we present a framework to generate synthetic sequences of different textures in ADAS scenarios with ground-truth optical flow. | ||||
Address | Coimbatore, India | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1876-1100 | ISBN | 978-81-322-0996-6 | Medium | |
Area | Expedition | Conference | ICSIP | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ OVS2012 | Serial | 2356 | ||
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Author | Francesc Tanarro Marquez; Pau Gratacos Marti; F. Javier Sanchez; Joan Ramon Jimenez Minguell; Coen Antens; Enric Sala i Esteva | ||||
Title | A device for monitoring condition of a railway supply | Type | Patent | ||
Year | 2012 | Publication | EP 2 404 777 A1 | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | of a railway supply line when the supply line is in contact with a head of a pantograph of a vehicle in order to power said vehicle . The device includes a camera ( for monitoring parameters indicative of operating capability of said supply line.
The device is intended to monitor condition tive of operating capability of said supply line. The device includes a reflective element. comprising a pattern , intended to be arranged onto the pantograph head . The camera is intended to be arranged on the vehicle (10) so as to register the pattern position regarding a vertical direction. |
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Corporate Author | ALSTOM Transport SA | Thesis | |||
Publisher | European Patent Office | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | MV | Approved | no | ||
Call Number | IAM @ iam @ MMS2012 | Serial | 1854 | ||
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Author | Fahad Shahbaz Khan; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell; Antonio Lopez | ||||
Title | Color Attributes for Object Detection | Type | Conference Article | ||
Year | 2012 | Publication | 25th IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 3306-3313 | ||
Keywords | pedestrian detection | ||||
Abstract | State-of-the-art object detectors typically use shape information as a low level feature representation to capture the local structure of an object. This paper shows that early fusion of shape and color, as is popular in image classification,
leads to a significant drop in performance for object detection. Moreover, such approaches also yields suboptimal results for object categories with varying importance of color and shape. In this paper we propose the use of color attributes as an explicit color representation for object detection. Color attributes are compact, computationally efficient, and when combined with traditional shape features provide state-ofthe- art results for object detection. Our method is tested on the PASCAL VOC 2007 and 2009 datasets and results clearly show that our method improves over state-of-the-art techniques despite its simplicity. We also introduce a new dataset consisting of cartoon character images in which color plays a pivotal role. On this dataset, our approach yields a significant gain of 14% in mean AP over conventional state-of-the-art methods. |
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Address | Providence; Rhode Island; USA; | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE Xplore | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1063-6919 | ISBN | 978-1-4673-1226-4 | Medium | |
Area | Expedition | Conference | CVPR | ||
Notes | ADAS; CIC; | Approved | no | ||
Call Number | Admin @ si @ KRW2012 | Serial | 1935 | ||
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Author | Albert Andaluz | ||||
Title | Harmonic Phase Flow: User's guide | Type | Manual | ||
Year | 2012 | Publication | CVC | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based. Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers |
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Address | Bellaterra, Barcelona (Spain) | ||||
Corporate Author | Computer Vision Center | Thesis | |||
Publisher | CVC | Place of Publication | Barcelona | Editor | |
Language | english | Summary Language | english | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ And2012 | Serial | 1863 | ||
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Author | Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu | ||||
Title | LSDA Solution Schemes for Modelless 3D Head Pose Estimation | Type | Conference Article | ||
Year | 2012 | Publication | IEEE Workshop on the Applications of Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 393-398 | ||
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Address | Breckenridge; USA; | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | WACV | ||
Notes | OR;MV | Approved | no | ||
Call Number | Admin @ si @ DBR2012 | Serial | 1889 | ||
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Author | Bogdan Raducanu; Fadi Dornaika | ||||
Title | Appearance-based Face Recognition Using A Supervised Manifold Learning Framework | Type | Conference Article | ||
Year | 2012 | Publication | IEEE Workshop on the Applications of Computer Vision | Abbreviated Journal | |
Volume | Issue | Pages | 465-470 | ||
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Abstract | Many natural image sets, depicting objects whose appearance is changing due to motion, pose or light variations, can be considered samples of a low-dimension nonlinear manifold embedded in the high-dimensional observation space (the space of all possible images). The main contribution of our work is represented by a Supervised Laplacian Eigemaps (S-LE) algorithm, which exploits the class label information for mapping the original data in the embedded space. Our proposed approach benefits from two important properties: i) it is discriminative, and ii) it adaptively selects the neighbors of a sample without using any predefined neighborhood size. Experiments were conducted on four face databases and the results demonstrate that the proposed algorithm significantly outperforms many linear and non-linear embedding techniques. Although we've focused on the face recognition problem, the proposed approach could also be extended to other category of objects characterized by large variance in their appearance. | ||||
Address | Breckenridge; CO; USA | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE Xplore | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1550-5790 | ISBN | 978-1-4673-0233-3 | Medium | |
Area | Expedition | Conference | WACV | ||
Notes | OR;MV | Approved | no | ||
Call Number | Admin @ si @ RaD2012d | Serial | 1890 | ||
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Author | Santiago Segui; Michal Drozdzal; Petia Radeva; Jordi Vitria | ||||
Title | An Integrated Approach to Contextual Face Detection | Type | Conference Article | ||
Year | 2012 | Publication | 1st International Conference on Pattern Recognition Applications and Methods | Abbreviated Journal | |
Volume | Issue | Pages | 143-150 | ||
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Abstract | Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple content- and context-based detectors in a discriminative way. Moreover, we develop an integrated scoring procedure that measures the ’faceness’ of each hypothesis and is used to discriminate the detection results. Our approach detects a higher rate of faces while minimizing the number of false detections, giving an average increase of more than 10% in average precision when comparing it to state-of-the art face detectors | ||||
Address | Vilamoura, Algarve, Portugal | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICPRAM | ||
Notes | MILAB; OR;MV | Approved | no | ||
Call Number | Admin @ si @ SDR2012 | Serial | 1895 | ||
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Author | Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil | ||||
Title | An illumination model of the trachea appearance in videobronchoscopy images | Type | Book Chapter | ||
Year | 2012 | Publication | Image Analysis and Recognition | Abbreviated Journal | LNCS |
Volume | 7325 | Issue | Pages | 313-320 | |
Keywords | Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation | ||||
Abstract | Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution. |
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Address | Aveiro, Portugal | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Lecture Notes in Computer Science | Abbreviated Series Title | LNCS | |
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-31297-7 | Medium | |
Area | 800 | Expedition | Conference | ICIAR | |
Notes | MV;IAM | Approved | no | ||
Call Number | IAM @ iam @ SSR2012 | Serial | 1898 | ||
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Author | Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil | ||||
Title | Myocardial torsion estimation with Tagged-MRI in the OsiriX platform | Type | Conference Article | ||
Year | 2012 | Publication | ISBI Workshop on Open Source Medical Image Analysis software | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | Myocardial torsion (MT) plays a crucial role in the assessment of the functionality of the
left ventricle. For this purpose, the IAM group at the CVC has developed the Harmonic Phase Flow (HPF) plugin for the Osirix DICOM platform . We have validated its funcionalty on sequences acquired using different protocols and including healthy and pathological cases. Results show similar torsion trends for SPAMM acquisitions, with pathological cases introducing expected deviations from the ground truth. Finally, we provide the plugin free of charge at http://iam.cvc.uab.es |
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Address | Barcelona, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE | Place of Publication | Editor | Wiro Niessen (Erasmus MC) and Marc Modat (UCL) | |
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ISBI | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ ACS2012 | Serial | 1900 | ||
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Author | David Geronimo; Frederic Lerasle; Antonio Lopez | ||||
Title | State-driven particle filter for multi-person tracking | Type | Conference Article | ||
Year | 2012 | Publication | 11th International Conference on Advanced Concepts for Intelligent Vision Systems | Abbreviated Journal | |
Volume | 7517 | Issue | Pages | 467-478 | |
Keywords | human tracking | ||||
Abstract | Multi-person tracking can be exploited in applications such as driver assistance, surveillance, multimedia and human-robot interaction. With the help of human detectors, particle filters offer a robust method able to filter noisy detections and provide temporal coherence. However, some traditional problems such as occlusions with other targets or the scene, temporal drifting or even the lost targets detection are rarely considered, making the systems performance decrease. Some authors propose to overcome these problems using heuristics not explained
and formalized in the papers, for instance by defining exceptions to the model updating depending on tracks overlapping. In this paper we propose to formalize these events by the use of a state-graph, defining the current state of the track (e.g., potential , tracked, occluded or lost) and the transitions between states in an explicit way. This approach has the advantage of linking track actions such as the online underlying models updating, which gives flexibility to the system. It provides an explicit representation to adapt the multiple parallel trackers depending on the context, i.e., each track can make use of a specific filtering strategy, dynamic model, number of particles, etc. depending on its state. We implement this technique in a single-camera multi-person tracker and test it in public video sequences. |
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Address | Brno, Chzech Republic | ||||
Corporate Author | Thesis | ||||
Publisher | Springer | Place of Publication | Heidelberg | Editor | J. Blanc-Talon et al. |
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ACIVS | ||
Notes | ADAS | Approved | yes | ||
Call Number | GLL2012; ADAS @ adas @ gll2012a | Serial | 1990 | ||
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Author | Javier Marin; David Geronimo; David Vazquez; Antonio Lopez | ||||
Title | Pedestrian Detection: Exploring Virtual Worlds | Type | Book Chapter | ||
Year | 2012 | Publication | Handbook of Pattern Recognition: Methods and Application | Abbreviated Journal | |
Volume | 5 | Issue | Pages | 145-162 | |
Keywords | Virtual worlds; Pedestrian Detection; Domain Adaptation | ||||
Abstract | Handbook of pattern recognition will include contributions from university educators and active research experts. This Handbook is intended to serve as a basic reference on methods and applications of pattern recognition. The primary aim of this handbook is providing the community of pattern recognition with a readable, easy to understand resource that covers introductory, intermediate and advanced topics with equal clarity. Therefore, the Handbook of pattern recognition can serve equally well as reference resource and as classroom textbook. Contributions cover all methods, techniques and applications of pattern recognition. A tentative list of relevant topics might include: 1- Statistical, structural, syntactic pattern recognition. 2- Neural networks, machine learning, data mining. 3- Discrete geometry, algebraic, graph-based techniques for pattern recognition. 4- Face recognition, Signal analysis, image coding and processing, shape and texture analysis. 5- Document processing, text and graphics recognition, digital libraries. 6- Speech recognition, music analysis, multimedia systems. 7- Natural language analysis, information retrieval. 8- Biometrics, biomedical pattern analysis and information systems. 9- Other scientific, engineering, social and economical applications of pattern recognition. 10- Special hardware architectures, software packages for pattern recognition. | ||||
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Corporate Author | Thesis | ||||
Publisher | iConcept Press | Place of Publication | Editor | ||
Language | English | Summary Language | Original Title | ||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-477554-82-1 | Medium | ||
Area | Expedition | Conference | |||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ MGV2012 | Serial | 1979 | ||
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