Home | << 1 2 3 4 5 6 7 8 9 10 >> |
Records | |||||
---|---|---|---|---|---|
Author | Jose Manuel Alvarez; Theo Gevers; Antonio Lopez | ||||
Title | Learning Photometric Invariance from Diversified Color Model Ensembles | Type | Conference Article | ||
Year | 2009 | Publication | 22nd IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 565–572 | ||
Keywords | road detection | ||||
Abstract | Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions affecting negatively the performance of the task at hand. Often, a reflection model (e.g., Lambertian or dichromatic reflectance) is used to derive color invariant models. However, those reflection models might be too restricted to model real-world scenes in which different reflectance mechanisms may hold simultaneously. Therefore, in this paper, we aim to derive color invariance by learning from color models to obtain diversified color invariant ensembles. First, a photometrical orthogonal and non-redundant color model set is taken on input composed of both color variants and invariants. Then, the proposed method combines and weights these color models to arrive at a diversified color ensemble yielding a proper balance between invariance (repeatability) and discriminative power (distinctiveness). To achieve this, the fusion method uses a multi-view approach to minimize the estimation error. In this way, the method is robust to data uncertainty and produces properly diversified color invariant ensembles. Experiments are conducted on three different image datasets to validate the method. From the theoretical and experimental results, it is concluded that the method is robust against severe variations in imaging conditions. The method is not restricted to a certain reflection model or parameter tuning. Further, the method outperforms state-of- the-art detection techniques in the field of object, skin and road recognition. | ||||
Address | Miami (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 | 1063-6919 | ISBN | 978-1-4244-3992-8 | Medium | |
Area | Expedition | Conference | CVPR | ||
Notes | ADAS;ISE | Approved | no | ||
Call Number | ADAS @ adas @ AGL2009 | Serial | 1169 | ||
Permanent link to this record | |||||
Author | Pau Baiget; Carles Fernandez; Xavier Roca; Jordi Gonzalez | ||||
Title | Generation of Augmented Video Sequences Combining Behavioral Animation and Multi Object Tracking | Type | Journal Article | ||
Year | 2009 | Publication | Computer Animation and Virtual Worlds | Abbreviated Journal | |
Volume | 20 | Issue | 4 | Pages | 473–489 |
Keywords | |||||
Abstract | In this paper we present a novel approach to generate augmented video sequences in real-time, involving interactions between virtual and real agents in real scenarios. On the one hand, real agent motion is estimated by means of a multi-object tracking algorithm, which determines real objects' position over the scenario for each time step. On the other hand, virtual agents are provided with behavior models considering their interaction with the environment and with other agents. The resulting framework allows to generate video sequences involving behavior-based virtual agents that react to real agent behavior and has applications in education, simulation, and in the game and movie industries. We show the performance of the proposed approach in an indoor and outdoor scenario simulating human and vehicle agents. Copyright © 2009 John Wiley & Sons, Ltd.
We present a novel approach to generate augmented video sequences in real-time, involving interactions between virtual and real agents in real scenarios. On the one hand, real agent motion is estimated by means of a multi-object tracking algorithm, which determines real objects' position over the scenario for each time step. On the other hand, virtual agents are provided with behavior models considering their interaction with the environment and with other agents. © 2009 Wiley Periodicals, Inc. |
||||
Address | |||||
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 | |||
Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ BFR2009 | Serial | 1170 | ||
Permanent link to this record | |||||
Author | Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich | ||||
Title | Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset | Type | Journal Article | ||
Year | 2009 | Publication | Journal of Imaging Science and Technology | Abbreviated Journal | |
Volume | 53 | Issue | 3 | Pages | 031105–9 |
Keywords | |||||
Abstract | The estimation of the illuminant of a scene from a digital image has been the goal of a large amount of research in computer vision. Color constancy algorithms have dealt with this problem by defining different heuristics to select a unique solution from within the feasible set. The performance of these algorithms has shown that there is still a long way to go to globally solve this problem as a preliminary step in computer vision. In general, performance evaluation has been done by comparing the angular error between the estimated chromaticity and the chromaticity of a canonical illuminant, which is highly dependent on the image dataset. Recently, some workers have used high-level constraints to estimate illuminants; in this case selection is based on increasing the performance on the subsequent steps of the systems. In this paper we propose a new performance measure, the perceptual angular error. It evaluates the performance of a color constancy algorithm according to the perceptual preferences of humans, or naturalness (instead of the actual optimal solution) and is independent of the visual task. We show the results of a new psychophysical experiment comparing solutions from three different color constancy algorithms. Our results show that in more than a half of the judgments the preferred solution is not the one closest to the optimal solution. Our experiments were performed on a new dataset of images acquired with a calibrated camera with an attached neutral grey sphere, which better copes with the illuminant variations of the scene. | ||||
Address | |||||
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 | |||
Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ VPV2009a | Serial | 1171 | ||
Permanent link to this record | |||||
Author | Antonio Clavelli; Dimosthenis Karatzas | ||||
Title | Text Segmentation in Colour Posters from the Spanish Civil War Era | Type | Conference Article | ||
Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 181 - 185 | ||
Keywords | |||||
Abstract | The extraction of textual content from colour documents of a graphical nature is a complicated task. The text can be rendered in any colour, size and orientation while the existence of complex background graphics with repetitive patterns can make its localization and segmentation extremely difficult.
Here, we propose a new method for extracting textual content from such colour images that makes no assumption as to the size of the characters, their orientation or colour, while it is tolerant to characters that do not follow a straight baseline. We evaluate this method on a collection of documents with historical connotations: the Posters from the Spanish Civil War. |
||||
Address | Barcelona, Spain | ||||
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 | 1520-5363 | ISBN | 978-1-4244-4500-4 | Medium | |
Area | Expedition | Conference | ICDAR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ ClK2009 | Serial | 1172 | ||
Permanent link to this record | |||||
Author | Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; Horst Bunke | ||||
Title | A Recursive Embedding Approach to Median Graph Computation | Type | Conference Article | ||
Year | 2009 | Publication | 7th IAPR – TC–15 Workshop on Graph–Based Representations in Pattern Recognition | Abbreviated Journal | |
Volume | 5534 | Issue | Pages | 113–123 | |
Keywords | |||||
Abstract | The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely complex. Several approaches have been presented up to now based on different strategies. In this paper we present a new approximate recursive algorithm for median graph computation based on graph embedding into vector spaces. Preliminary experiments on three databases show that this new approach is able to obtain better medians than the previous existing approaches. | ||||
Address | Venice, Italy | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-02123-7 | Medium | |
Area | Expedition | Conference | GBR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ FKV2009 | Serial | 1173 | ||
Permanent link to this record | |||||
Author | Miquel Ferrer; Ernest Valveny; F. Serratosa | ||||
Title | Median Graph Computation by means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subraph | Type | Conference Article | ||
Year | 2009 | Publication | 4th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 5524 | Issue | Pages | 346–353 | |
Keywords | |||||
Abstract | Given a set of graphs, the median graph has been theoretically presented as a useful concept to infer a representative of the set. However, the computation of the median graph is a highly complex task and its practical application has been very limited up to now. In this work we present a new genetic algorithm for the median graph computation. A set of experiments on real data, where none of the existing algorithms for the median graph computation could be applied up to now due to their computational complexity, show that we obtain good approximations of the median graph. Finally, we use the median graph in a real nearest neighbour classification showing that it leaves the box of the only-theoretical concepts and demonstrating, from a practical point of view, that can be a useful tool to represent a set of graphs. | ||||
Address | Póvoa de Varzim, Portugal | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-02171-8 | Medium | |
Area | Expedition | Conference | IbPRIA | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ FVS2009c | Serial | 1174 | ||
Permanent link to this record | |||||
Author | Albert Gordo; Ernest Valveny | ||||
Title | A rotation invariant page layout descriptor for document classification and retrieval | Type | Conference Article | ||
Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 481–485 | ||
Keywords | |||||
Abstract | Document classification usually requires of structural features such as the physical layout to obtain good accuracy rates on complex documents. This paper introduces a descriptor of the layout and a distance measure based on the cyclic dynamic time warping which can be computed in O(n2). This descriptor is translation invariant and can be easily modified to be scale and rotation invariant. Experiments with this descriptor and its rotation invariant modification are performed on the Girona archives database and compared against another common layout distance, the minimum weight edge cover. The experiments show that these methods outperform the MWEC both in accuracy and speed, particularly on rotated documents. | ||||
Address | Barcelona, Spain | ||||
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 | 1520-5363 | ISBN | 978-1-4244-4500-4 | Medium | |
Area | Expedition | Conference | ICDAR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ GoV2009a | Serial | 1175 | ||
Permanent link to this record | |||||
Author | Albert Gordo; Ernest Valveny | ||||
Title | The diagonal split: A pre-segmentation step for page layout analysis & classification | Type | Conference Article | ||
Year | 2009 | Publication | 4th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
Volume | 5524 | Issue | Pages | 290–297 | |
Keywords | |||||
Abstract | Document classification is an important task in all the processes related to document storage and retrieval. In the case of complex documents, structural features are needed to achieve a correct classification. Unfortunately, physical layout analysis is error prone. In this paper we present a pre-segmentation step based on a divide & conquer strategy that can be used to improve the page segmentation results, independently of the segmentation algorithm used. This pre-segmentation step is evaluated in classification and retrieval using the selective CRLA algorithm for layout segmentation together with a clustering based on the voronoi area diagram, and tested on two different databases, MARG and Girona Archives. | ||||
Address | Póvoa de Varzim, Portugal | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-02171-8 | Medium | |
Area | Expedition | Conference | IbPRIA | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ Gov2009b | Serial | 1176 | ||
Permanent link to this record | |||||
Author | Marçal Rusiñol; Josep Llados | ||||
Title | Logo Spotting by a Bag-of-words Approach for Document Categorization | Type | Conference Article | ||
Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 111–115 | ||
Keywords | |||||
Abstract | In this paper we present a method for document categorization which processes incoming document images such as invoices or receipts. The categorization of these document images is done in terms of the presence of a certain graphical logo detected without segmentation. The graphical logos are described by a set of local features and the categorization of the documents is performed by the use of a bag-of-words model. Spatial coherence rules are added to reinforce the correct category hypothesis, aiming also to spot the logo inside the document image. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented. | ||||
Address | Barcelona; Spain | ||||
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 | 1520-5363 | ISBN | 978-1-4244-4500-4 | Medium | |
Area | Expedition | Conference | ICDAR | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ RuL2009b | Serial | 1179 | ||
Permanent link to this record | |||||
Author | Sergio Escalera; Alicia Fornes; O. Pujol; Petia Radeva; Gemma Sanchez; Josep Llados | ||||
Title | Blurred Shape Model for Binary and Grey-level Symbol Recognition | Type | Journal Article | ||
Year | 2009 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
Volume | 30 | Issue | 15 | Pages | 1424–1433 |
Keywords | |||||
Abstract | Many symbol recognition problems require the use of robust descriptors in order to obtain rich information of the data. However, the research of a good descriptor is still an open issue due to the high variability of symbols appearance. Rotation, partial occlusions, elastic deformations, intra-class and inter-class variations, or high variability among symbols due to different writing styles, are just a few problems. In this paper, we introduce a symbol shape description to deal with the changes in appearance that these types of symbols suffer. The shape of the symbol is aligned based on principal components to make the recognition invariant to rotation and reflection. Then, we present the Blurred Shape Model descriptor (BSM), where new features encode the probability of appearance of each pixel that outlines the symbols shape. Moreover, we include the new descriptor in a system to deal with multi-class symbol categorization problems. Adaboost is used to train the binary classifiers, learning the BSM features that better split symbol classes. Then, the binary problems are embedded in an Error-Correcting Output Codes framework (ECOC) to deal with the multi-class case. The methodology is evaluated on different synthetic and real data sets. State-of-the-art descriptors and classifiers are compared, showing the robustness and better performance of the present scheme to classify symbols with high variability of appearance. | ||||
Address | |||||
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 | |||
Notes | HuPBA; DAG; MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EFP2009a | Serial | 1180 | ||
Permanent link to this record | |||||
Author | Sergio Escalera; Xavier Baro; Jordi Vitria; Petia Radeva | ||||
Title | Text Detection in Urban Scenes (video sample) | Type | Conference Article | ||
Year | 2009 | Publication | 12th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
Volume | 202 | Issue | Pages | 35–44 | |
Keywords | |||||
Abstract | Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are just a few problems. Text detection can be specially suited for georeferencing business, navigation, tourist assistance, or to help visual impaired people. In this paper, we propose a general methodology to deal with the problem of text detection in outdoor scenes. The method is based on learning spatial information of gradient based features and Census Transform images using a cascade of classifiers. The method is applied in the context of Mobile Mapping systems, where a mobile vehicle captures urban image sequences. Moreover, a cover data set is presented and tested with the new methodology. The results show high accuracy when detecting multi-linear text regions with high variability of appearance, at same time that it preserves a low false alarm rate compared to classical approaches | ||||
Address | Cardona (Spain) | ||||
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 | 978-1-60750-061-2 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | OR;MILAB;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EBV2009 | Serial | 1181 | ||
Permanent link to this record | |||||
Author | Sergio Escalera; Oriol Pujol; Petia Radeva; Jordi Vitria | ||||
Title | Measuring Interest of Human Dyadic Interactions | Type | Conference Article | ||
Year | 2009 | Publication | 12th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
Volume | 202 | Issue | Pages | 45-54 | |
Keywords | |||||
Abstract | In this paper, we argue that only using behavioural motion information, we are able to predict the interest of observers when looking at face-to-face interactions. We propose a set of movement-related features from body, face, and mouth activity in order to define a set of higher level interaction features, such as stress, activity, speaking engagement, and corporal engagement. Error-Correcting Output Codes framework with an Adaboost base classifier is used to learn to rank the perceived observer's interest in face-to-face interactions. The automatic system shows good correlation between the automatic categorization results and the manual ranking made by the observers. In particular, the learning system shows that stress features have a high predictive power for ranking interest of observers when looking at of face-to-face interactions. | ||||
Address | Cardona (Spain) | ||||
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 | 978-1-60750-061-2 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | OR;MILAB;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EPR2009b | Serial | 1182 | ||
Permanent link to this record | |||||
Author | Xavier Baro; Sergio Escalera; Petia Radeva; Jordi Vitria | ||||
Title | Generic Object Recognition in Urban Image Databases | Type | Conference Article | ||
Year | 2009 | Publication | 12th International Conference of the Catalan Association for Artificial Intelligence | Abbreviated Journal | |
Volume | 202 | Issue | Pages | 27-34 | |
Keywords | |||||
Abstract | In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mapping system, a huge set of georeferenced images (>500K) which cover the whole city of Barcelona. For each image, hundreds of region descriptions are computed off-line and described as a hash code. All this information is extracted without an object of reference, which allows to search for any type of objects using their visual appearance. A new Visual Content layer is built over Google Maps, allowing the object recognition information to be organized and fused with other content, like satellite images, street maps, and business locations. | ||||
Address | Cardona (Spain) | ||||
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 | 978-1-60750-061-2 | Medium | ||
Area | Expedition | Conference | CCIA | ||
Notes | OR;MILAB;HuPBA;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VER2009 | Serial | 1183 | ||
Permanent link to this record | |||||
Author | Sergio Escalera; Alicia Fornes; Oriol Pujol; Alberto Escudero; Petia Radeva | ||||
Title | Circular Blurred Shape Model for Symbol Spotting in Documents | Type | Conference Article | ||
Year | 2009 | Publication | 16th IEEE International Conference on Image Processing | Abbreviated Journal | |
Volume | Issue | Pages | 1985-1988 | ||
Keywords | |||||
Abstract | Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. In the case of document analysis, symbol spotting techniques have to deal with a high variability of symbols' appearance. In this paper, we propose the Circular Blurred Shape Model descriptor. Feature extraction is performed capturing the spatial arrangement of significant object characteristics in a correlogram structure. Shape information from objects is shared among correlogram regions, being tolerant to the irregular deformations. Descriptors are learnt using a cascade of classifiers and Abadoost as the base classifier. Finally, symbol spotting is performed by means of a windowing strategy using the learnt cascade over plan and old musical score documents. Spotting and multi-class categorization results show better performance comparing with the state-of-the-art descriptors. | ||||
Address | Cairo, Egypt | ||||
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 | 978-1-4244-5653-6 | Medium | ||
Area | Expedition | Conference | ICIP | ||
Notes | MILAB;HuPBA;DAG | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ EFP2009b | Serial | 1184 | ||
Permanent link to this record | |||||
Author | Mehdi Mirza-Mohammadi; Sergio Escalera; Petia Radeva | ||||
Title | Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization | Type | Conference Article | ||
Year | 2009 | Publication | 13th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | |
Volume | 5702 | Issue | Pages | 748–756 | |
Keywords | |||||
Abstract | Bag-of-words model (BOW) is inspired by the text classification problem, where a document is represented by an unsorted set of contained words. Analogously, in the object categorization problem, an image is represented by an unsorted set of discrete visual words (BOVW). In these models, relations among visual words are performed after dictionary construction. However, close object regions can have far descriptions in the feature space, being grouped as different visual words. In this paper, we present a method for considering geometrical information of visual words in the dictionary construction step. Object interest regions are obtained by means of the Harris-Affine detector and then described using the SIFT descriptor. Afterward, a contextual-space and a feature-space are defined, and a merging process is used to fuse feature words based on their proximity in the contextual-space. Moreover, we use the Error Correcting Output Codes framework to learn the new dictionary in order to perform multi-class classification. Results show significant classification improvements when spatial information is taken into account in the dictionary construction step. | ||||
Address | |||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-03766-5 | Medium | |
Area | Expedition | Conference | CAIP | ||
Notes | HuPBA; MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ MEP2009 | Serial | 1185 | ||
Permanent link to this record |