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Author | Enric Marti; Ferran Poveda; Antoni Gurgui; Debora Gil | ||||
Title | Aprendizaje Basado en Proyectos en Ingeniería Informática. Resultados y reflexiones de seis años de experiencia | Type | Miscellaneous | ||
Year | 2011 | Publication | Actas del Simposio-Taller JENUI 2011 | Abbreviated Journal | |
Volume | Issue | Pages | 1-8 | ||
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Abstract | In this workshop a 6 years experience in Project Based Learning (PBL) in Computer Graphics, Computer Engineering course at the Autonomous University of Barcelona (UAB) is presented. We use a Moodle environment suited to manage the documentation generated in PBL. The course is organized by means of two alternative routes: a classic itinerary of lectures and test-based evaluation and another with PBL. In the PBL itinerary we explain the organization in teamgroups, homework tutoring and monitoring and evaluation guidelines for students. We provide some of the work done by students, and the results of assessment surveys carried out to students during these years. We report the evolution of our PBL itinerary in terms of, both, organization and student surveys.
The workshop aims at discussing about on the advantages and disadvantages of using these active methodologies in technical degrees such as computer engineering, in order to debate about the most suitable way of organizing PBL and assessing students learning rate. |
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Address | Sevilla, Spain | ||||
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Language | spanish | Summary Language | Original Title | ||
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ISSN | ISBN | 978-84-694-5440-4 | Medium | ||
Area | Expedition | Conference | JENUI | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ MPG2011 | Serial | 1584 | ||
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Author | Enric Marti; Debora Gil; Marc Vivet ; Carme Julia | ||||
Title | Balance de cuatro años de experiencia en la implantación de la metodología de Aprendizaje Basado en Proyectos en la asignatura de Gráficos por Computador en ingeniería Informática | Type | Miscellaneous | ||
Year | 2008 | Publication | Actas V Jornadas Internacionales de Innovación Universitaria | Abbreviated Journal | |
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Keywords | Aprendizaje cooperativo; aprendizaje basado en proyectos; experiencias docentes. | ||||
Abstract | En este trabajo se presentan los resultados de la aplicación de la metodología del aprendizaje cooperativo a la docencia de dos asignaturas de programación en ingeniería informática. ‘Algoritmos y programación’ y ‘Lenguajes de programación’ son dos asignaturas complementarias que se organizan entorno a un proyecto común que engloba los contenidos de ambas asignaturas. En la docencia de una parte muy importante de estas asignaturas, la metodología del aprendizaje cooperativo se ha adaptado a sus características específicas. Como muestra de esta adaptación presentamos dos ejemplos de las actividades desarrolladas dentro de la docencia de estas asignaturas. Después de tres años de aplicación, el análisis a nivel cualitativo y cuantitativo de los resultados muestra que éstos son muy satisfactorios y que la aplicación del método cooperativo ha mejorado de forma considerable el rendimiento de los alumnos en ambas asignaturas. | ||||
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Notes | IAM;ADAS | Approved | no | ||
Call Number | IAM @ iam @ MGV2008a | Serial | 1598 | ||
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Author | David Guillamet; Jordi Vitria | ||||
Title | Local Discriminant Regions Using Support Vector Machines for Object Recognition. | Type | Miscellaneous | ||
Year | 2000 | Publication | Advances in Pattern Recognition, Lecture Notes in Computer Science 1876: 550–559, Springer Verlag. | Abbreviated Journal | |
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Notes | OR;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ GuV2000 a | Serial | 240 | ||
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Author | Enric Marti; Petia Radeva; Ricardo Toledo; Jordi Vitria | ||||
Title | Experiencia de aplicación de la metodología de aprendizaje por proyectos en asignaturas de Ingeniería Informática para una mejor adaptación a los créditos ECTS i al Espacio Europeo de Educación Superior | Type | Miscellaneous | ||
Year | 2005 | Publication | Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR) | Abbreviated Journal | |
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Area | Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR) | Expedition | Conference | ||
Notes | IAM;RV;OR;MILAB;ADAS;MV | Approved | no | ||
Call Number | IAM @ iam @ MRT2005 | Serial | 1608 | ||
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Author | Fernando Vilariño; Enric Marti | ||||
Title | New didactic techniques in the EHES applying mobile technologies | Type | Miscellaneous | ||
Year | 2008 | Publication | Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya | Abbreviated Journal | |
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Corporate Author | Agencia de Gestió d’Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya | Thesis | |||
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Area | Agencia de Gestio d´Ajuts Universitaris I de Recerca (AGAUR), Generalitat de Catalunya | Expedition | Conference | ||
Notes | MILAB;IAM;MV;SIAI | Approved | no | ||
Call Number | IAM @ iam @ VIM2008 | Serial | 1664 | ||
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Author | Petia Radeva | ||||
Title | On the Role of Intravascular Ultrasound Image Analysis | Type | Miscellaneous | ||
Year | 2003 | Publication | Angiography and Plaque Imaging: Advanced Segmentation Techniques, CRC, pp.397–450, ISBN: 0849317401 | Abbreviated Journal | |
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ Rad2003 | Serial | 402 | ||
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Author | J. Suri; S. Singh; S. Laxminarayan; R. Cesar; H. Jelinek; Petia Radeva; B. Roysam; Ch. Stewart; K. Frizche; J. Williams; H. Tek | ||||
Title | A Note on Future Research in Vascular and Plaque Segmentation | Type | Miscellaneous | ||
Year | 2003 | Publication | Angiography and Plaque Imaging: Advanced Segmentation Techniques, Editorial: CRC, pp.501–522, ISBN: 0849317401 | Abbreviated Journal | |
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ SSL2003 | Serial | 419 | ||
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Author | Jose Luis Alba; A. Pujol; Juan J. Villanueva | ||||
Title | Novel SOM-PCA Network for Face Identification. | Type | Miscellaneous | ||
Year | 2001 | Publication | Applications and Science of Neural Networks, Fuzzy Systems and Evolutonary Computation IV, SPIE´s International Symposium on Optical Science and Technology. | Abbreviated Journal | |
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Call Number | ISE @ ise @ APV2001a | Serial | 69 | ||
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Author | Daniel Ponsa; Xavier Roca | ||||
Title | A Novel Approach to Generate Multiple Shape Models. | Type | Miscellaneous | ||
Year | 2002 | Publication | Articulated Motion and Deformable Objects, LNCS 2492: 80–91, Springer Verlag. | Abbreviated Journal | |
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Notes | ADAS;ISE | Approved | no | ||
Call Number | ADAS @ adas @ PoR2002a | Serial | 283 | ||
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Author | Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva | ||||
Title | Analysis of Human Walking Based on aSpaces | Type | Miscellaneous | ||
Year | 2004 | Publication | Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:177–188 | Abbreviated Journal | |
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Address | Springer-Verlag, Berlin, Heidelberg | ||||
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Notes | ISE | Approved | no | ||
Call Number | ISE @ ise @ GVR2004a | Serial | 492 | ||
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Author | Adriana Romero; Petia Radeva; Carlo Gatta | ||||
Title | No more meta-parameter tuning in unsupervised sparse feature learning | Type | Miscellaneous | ||
Year | 2014 | Publication | Arxiv | Abbreviated Journal | |
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Abstract | CoRR abs/1402.5766
We propose a meta-parameter free, off-the-shelf, simple and fast unsupervised feature learning algorithm, which exploits a new way of optimizing for sparsity. Experiments on STL-10 show that the method presents state-of-the-art performance and provides discriminative features that generalize well. |
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Notes | MILAB; LAMP; 600.079 | Approved | no | ||
Call Number | Admin @ si @ RRG2014 | Serial | 2471 | ||
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Author | Wenjuan Gong; Y.Huang; Jordi Gonzalez; Liang Wang | ||||
Title | An Effective Solution to Double Counting Problem in Human Pose Estimation | Type | Miscellaneous | ||
Year | 2015 | Publication | Arxiv | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | Pose estimation; double counting problem; mix-ture of parts Model | ||||
Abstract | The mixture of parts model has been successfully applied to solve the 2D
human pose estimation problem either as an explicitly trained body part model or as latent variables for pedestrian detection. Even in the era of massive applications of deep learning techniques, the mixture of parts model is still effective in solving certain problems, especially in the case with limited numbers of training samples. In this paper, we consider using the mixture of parts model for pose estimation, wherein a tree structure is utilized for representing relations between connected body parts. This strategy facilitates training and inferencing of the model but suffers from double counting problems, where one detected body part is counted twice due to lack of constrains among unconnected body parts. To solve this problem, we propose a generalized solution in which various part attributes are captured by multiple features so as to avoid the double counted problem. Qualitative and quantitative experimental results on a public available dataset demonstrate the effectiveness of our proposed method. An Effective Solution to Double Counting Problem in Human Pose Estimation – ResearchGate. Available from: http://www.researchgate.net/publication/271218491AnEffectiveSolutiontoDoubleCountingProbleminHumanPose_Estimation [accessed Oct 22, 2015]. |
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Notes | ISE; 600.078 | Approved | no | ||
Call Number | Admin @ si @ GHG2015 | Serial | 2590 | ||
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Author | Maedeh Aghaei; Mariella Dimiccoli; Petia Radeva | ||||
Title | Multi-Face Tracking by Extended Bag-of-Tracklets in Egocentric Videos | Type | Miscellaneous | ||
Year | 2015 | Publication | Arxiv | Abbreviated Journal | |
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Abstract | Egocentric images offer a hands-free way to record daily experiences and special events, where social interactions are of special interest. A natural question that arises is how to extract and track the appearance of multiple persons in a social event captured by a wearable camera. In this paper, we propose a novel method to find correspondences of multiple-faces in low temporal resolution egocentric sequences acquired through a wearable camera. This kind of sequences imposes additional challenges to the multitracking problem with respect to conventional videos. Due to the free motion of the camera and to its low temporal resolution (2 fpm), abrupt changes in the field of view, in illumination conditions and in the target location are very frequent. To overcome such a difficulty, we propose to generate, for each detected face, a set of correspondences along the whole sequence that we call tracklet and to take advantage of their redundancy to deal with both false positive face detections and unreliable tracklets. Similar tracklets are grouped into the so called extended bag-of-tracklets (eBoT), which are aimed to correspond to specific persons. Finally, a prototype tracklet is extracted for each eBoT. We validated our method over a dataset of 18.000 images from 38 egocentric sequences with 52 trackable persons and compared to the state-of-the-art methods, demonstrating its effectiveness and robustness. | ||||
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Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @ ADR2015b | Serial | 2713 | ||
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Author | Azadeh S. Mozafari; David Vazquez; Mansour Jamzad; Antonio Lopez | ||||
Title | Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest | Type | Miscellaneous | ||
Year | 2016 | Publication | Arxiv | Abbreviated Journal | |
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Keywords | Domain Adaptation; Pedestrian detection; Random Forest | ||||
Abstract | Random Forest (RF) is a successful paradigm for learning classifiers due to its ability to learn from large feature spaces and seamlessly integrate multi-class classification, as well as the achieved accuracy and processing efficiency. However, as many other classifiers, RF requires domain adaptation (DA) provided that there is a mismatch between the training (source) and testing (target) domains which provokes classification degradation. Consequently, different RF-DA methods have been proposed, which not only require target-domain samples but revisiting the source-domain ones, too. As novelty, we propose three inherently different methods (Node-Adapt, Path-Adapt and Tree-Adapt) that only require the learned source-domain RF and a relatively few target-domain samples for DA, i.e. source-domain samples do not need to be available. To assess the performance of our proposals we focus on image-based object detection, using the pedestrian detection problem as challenging proof-of-concept. Moreover, we use the RF with expert nodes because it is a competitive patch-based pedestrian model. We test our Node-, Path- and Tree-Adapt methods in standard benchmarks, showing that DA is largely achieved. | ||||
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Call Number | ADAS @ adas @ MVJ2016 | Serial | 2868 | ||
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Author | Umut Guclu; Yagmur Gucluturk; Meysam Madadi; Sergio Escalera; Xavier Baro; Jordi Gonzalez; Rob van Lier; Marcel A. J. van Gerven | ||||
Title | End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks | Type | Miscellaneous | ||
Year | 2017 | Publication | Arxiv | Abbreviated Journal | |
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Abstract | arXiv:1703.03305
Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation. Here, we tackle this problem by leveraging the respective strengths of these advances. That is, we formulate a conditional random field over a four-connected graph as end-to-end trainable convolutional and recurrent networks, and estimate them via an adversarial process. Importantly, our model learns not only unary potentials but also pairwise potentials, while aggregating multi-scale contexts and controlling higher-order inconsistencies. We evaluate our model on two standard benchmark datasets for semantic face segmentation, achieving state-of-the-art results on both of them. |
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Notes | HuPBA; ISE; 600.098; 600.119 | Approved | no | ||
Call Number | Admin @ si @ GGM2017 | Serial | 2932 | ||
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