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Angel Sappa and M.A. Garcia. 2007. Incremental Integration of Multiresolution Range Images.
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Jaume Amores, N. Sebe and Petia Radeva. 2007. Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms.
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Yu Jie, Jaume Amores, N. Sebe, Petia Radeva and Tian Qi. 2008. Distance Learning for Similarity Estimation.
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Fadi Dornaika and Angel Sappa. 2008. Evaluation of an Appearance-based 3D Face Tracker using Dense 3D Data.
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Hugo Berti, Angel Sappa and Osvaldo Agamennoni. 2008. Improved Dynamic Window Approach by Using Lyapunov Stability Criteria.
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Joan Serrat, Ferran Diego and Felipe Lumbreras. 2008. Los faros delanteros a traves del objetivo.
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Carme Julia, Angel Sappa and Felipe Lumbreras. 2008. Aprendiendo a recrear la realidad en 3D.
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Sergio Vera, Debora Gil, Antonio Lopez and Miguel Angel Gonzalez Ballester. 2012. Multilocal Creaseness Measure.
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.
Keywords: Ridges, Valley, Creaseness, Structure Tensor, Skeleton,
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Enric Marti, J.Roncaries, Debora Gil, Aura Hernandez-Sabate, Antoni Gurgui and Ferran Poveda. 2015. PBL On Line: A proposal for the organization, part-time monitoring and assessment of PBL group activities.
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Aura Hernandez-Sabate, Meritxell Joanpere, Nuria Gorgorio and Lluis Albarracin. 2015. Mathematics learning opportunities when playing a Tower Defense Game.
Abstract: A qualitative research study is presented herein with the purpose of identifying mathematics learning opportunities in students between 10 and 12 years old while playing a commercial version of a Tower Defense game. These learning opportunities are understood as mathematicisable moments of the game and involve the establishment of relationships between the game and mathematical problem solving. Based on the analysis of these mathematicisable moments, we conclude that the game can promote problem-solving processes and learning opportunities that can be associated with different mathematical contents that appears in mathematics curricula, thought it seems that teacher or new game elements might be needed to facilitate the processes.
Keywords: Tower Defense game; learning opportunities; mathematics; problem solving; game design
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