Ara es mostren els items 9-13 de 13

  • Parameter determination of ONN (Ordered Neural Networks) 

    Pont Tuset, Jordi; Medrano Gracia, Pau; Nin Guerrero, Jordi; Larriba Pey, Josep; Muntés Mulero, Víctor (2007)
    Report de recerca
    Accés obert
    The need for data privacy motivates the development of new methods that allow to protect data minimizing the disclosure risk without losing information. In this paper, we propose a new protection method for numerical data ...
  • Supervised assessment of segmentation hierarchies 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (Springer, 2012)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    This paper addresses the problem of the supervised assessment of hierarchical region-based image representations. Given the large amount of partitions represented in such structures, the supervised assessment approaches ...
  • Supervised evaluation of image segmentation and object proposal techniques 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (2016-07-01)
    Article
    Accés obert
    This paper tackles the supervised evaluation of image segmentation and object proposal algorithms. It surveys, structures, and deduplicates the measures used to compare both segmentation results and object proposals with ...
  • System architecture of a web service for Content-Based Image Retrieval 

    Giró Nieto, Xavier; Ventura, Carles; Pont Tuset, Jordi; Cortés Yuste, Silvia; Marqués Acosta, Fernando (Association for Computing Machinery (ACM), 2010)
    Comunicació de congrés
    Accés obert
    This paper presents the system architecture of a Content- Based Image Retrieval system implemented as a web service. The proposed solution is composed of two parts, a client run- ning a graphical user interface for query ...
  • Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE, 2012)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Hierarchical region-based image representations are versatile tools for segmentation, filtering, object detection, etc. The evaluation of their spatial accuracy has been usually performed assessing the final result of an ...