Enric Marti, Debora Gil, Marc Vivet, & Carme Julia. (2008). 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.
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Enric Marti, Debora Gil, Marc Vivet, & Carme Julia. (2008). Uso de recursos virtuales en Aprendizaje Basado en Proyectos. Una experiencia en la asignatura de Gráficos por Computador. Lleida.
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Enric Marti, Jaume Rocarias, Petia Radeva, Ricardo Toledo, & Jordi Vitria. (2008). Caronte: diseño, implementación y mejora de actividades de evaluación y primeras experiencias en asignaturas. Lleida.
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Enric Marti, Jordi Rocarias, & Ricardo Toledo. (2008). Caront: gestió flexible de grups d’alumnes en una asignatura i activitats sobre grups. Nova activitat de control.
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Enric Marti, Jaume Rocarias, & Ricardo Toledo. (2008). Caronte: gestión flexible de grupos de alumnos en asignaturas de universidad y actividades sobre estos grupos. Barcelona.
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Fernando Vilariño, & Enric Marti. (2008). New didactic techniques in the EHES applying mobile technologies.
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H. Chouaib, Oriol Ramos Terrades, Salvatore Tabbone, F. Cloppet, & N. Vincent. (2008). Feature Selection Combining Genetic Algorithm and Adaboost Classifiers. In 19th International Conference on Pattern Recognition (pp. 1–4).
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T.O. Nguyen, Salvatore Tabbone, & Oriol Ramos Terrades. (2008). Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval. In Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, (pp. 191–197).
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H. Chouaib, Salvatore Tabbone, Oriol Ramos Terrades, F. Cloppet, N. Vincent, & A.T. Thierry Paquet. (2008). Sélection de Caractéristiques à partir d'un algorithme génétique et d'une combinaison de classifieurs Adaboost. In Colloque International Francophone sur l'Ecrit et le Document (pp. 181–186).
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T.O. Nguyen, Salvatore Tabbone, Oriol Ramos Terrades, & A.T. Thierry. (2008). Proposition d'un descripteur de formes et du modèle vectoriel pour la recherche de symboles. In Colloque International Francophone sur l'Ecrit et le Document (pp. 79–84).
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Salvatore Tabbone, Oriol Ramos Terrades, & S. Barrat. (2008). Histogram of radon transform. A useful descriptor for shape retrieval. In 19th International Conference on Pattern Recognition (pp. 1–4).
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Sergio Escalera. (2008). Coding and Decoding Design of ECOCs for Multi-class Pattern and Object Recognition A (Petia Radeva, & Oriol Pujol, Eds.). Ph.D. thesis, Ediciones Graficas Rey, .
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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Rozenn Dhayot, Fernando Vilariño, & Gerard Lacey. (2008). Improving the Quality of Color Colonoscopy Videos. EURASIP JIVP - EURASIP Journal on Image and Video Processing, 139429(1), 1–9.
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Enric Marti, Debora Gil, Marc Vivet, & Carme Julia. (2008). 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.
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.
Keywords: Aprendizaje cooperativo; aprendizaje basado en proyectos; experiencias docentes.
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Angel Sappa, Fadi Dornaika, Daniel Ponsa, David Geronimo, & Antonio Lopez. (2008). An Efficient Approach to Onboard Stereo Vision System Pose Estimation. TITS - IEEE Transactions on Intelligent Transportation Systems, 9(3), 476–490.
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.
Keywords: Camera extrinsic parameter estimation, ground plane estimation, onboard stereo vision system
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