Enviaments recents

  • Dense segmentation-aware descriptors 

    Trulls Fortuny, Eduard; Kokkinos, Iasonas; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2016)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Dense descriptors are becoming increasingly popular in a host of tasks, such as dense image correspondence, bag-of-words image classification, and label transfer. However, the extraction of descriptors on generic image ...
  • Robot interactive learning through human assistance 

    Ferrer Mínguez, Gonzalo; Garrell Zulueta, Anais; Villamizar Vergel, Michael Alejandro; Huerta Casado, Iván; Sanfeliu Cortés, Alberto (Springer Berlin Heidelberg, 2013)
    Capítol de llibre
    Accés obert
  • Debats via Twitter 

    Domingo Peña, Joan; Segura Casanovas, Joan; Durán Moyano, José Luis; Grau Saldes, Antoni; Bolea Monte, Yolanda (Institut de Ciències de l'Educació, 2014-04)
    Capítol de llibre
    Accés obert
    Es presenta una experiència de debat entre estudiants, tutelat pel professorat. Els debats a l’aula són una metodologia activa que, malgrat les seves virtuts, habitualment genera poca participació i que està força concentrada ...
  • PLC Control and Matlab/Simulink Simulations – A Translation Approach 

    Martins, Joao; Lima, Celson; Grau Saldes, Antoni; Martínez García, Herminio (Sciyo, Publishing, 2010-10-01)
    Capítol de llibre
    Accés restringit per política de l'editorial
  • Enginyeria Tècnica Industrial, Especialitats en Electricitat, Electrònica, Mecànica i Química, a l'Escola Universitària d'Enginyeria Tècnica Industrial de Barcelona de la Universitat Politècnica de Catalunya 

    Martínez García, Herminio; Jorba Peiró, Jordi; Gámiz Caro, Juan (Agència per a la Qualitat del Sistema Universitari a Catalunya., 2007-10)
    Capítol de llibre
    Accés obert
  • Local boosted features for pedestrian detection 

    Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer Verlag, 2009-06-12)
    Capítol de llibre
    Accés obert
    The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. The first one learns discriminant local ...
  • A recursive embedding approach to median graph computation 

    Ferrer Sumsi, Miquel; Valveny, Ernest; Bunke, Horst (Springer Verlag, 2009-06-12)
    Capítol de llibre
    Accés obert
    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 ...
  • Graph-based k-means clustering: A comparison of the set versus the generalized median graph 

    Ferrer Sumsi, Miquel; Valveny, Ernest; Serratosa Casanelles, Francesc; Bardaji Goikoetxea, Itziar; Bunke, Horst (Springer Berlin / Heidelberg, 2009)
    Capítol de llibre
    Accés restringit per política de l'editorial
    In this paper we propose the application of the generalized median graph in a graph-based k-means clustering algorithm. In the graph-based k-means algorithm, the centers of the clusters have been traditionally represented ...
  • Median graph computation by means of a genetic approach based on minimum common supergraph and maximum common subraph 

    Ferrer Sumsi, Miquel; Valveny, Ernest; Serratosa Casanelles, Francesc (Springer Berlin / Heidelberg, 2009)
    Capítol de llibre
    Accés restringit per política de l'editorial
    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 ...
  • Unidimensional multiscale local features for object detection under rotation and mild occlusions 

    Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer Verlag, 2007)
    Capítol de llibre
    Accés obert
    In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows ...

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