Now showing items 11-14 of 14

  • Measures and meta-measures for the supervised evaluation of image segmentation 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE Computer Society Publications, 2013)
    Conference report
    Open Access
    This paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ...
  • Multi-task Deep Learning models for real-time deployment in embedded systems 

    Martí I Rabadán, Miquel (Universitat Politècnica de Catalunya, 2017-05-23)
    Master thesis
    Open Access
    Covenantee:  KTH - School of Electrical Engineering
    Multitask Learning (MTL) was conceived as an approach to improve the generalization ability of machine learning models. When applied to neural networks, multitask models take advantage of sharing resources for reducing the ...
  • Object recognition in urban hyperspectral images using binary partition tree representation 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Conference report
    Restricted access - publisher's policy
    In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ...
  • Region-based face detection, segmentation and tracking. framework definition and application to other objects 

    Vilaplana Besler, Verónica (Universitat Politècnica de Catalunya, 2010-12-17)
    Doctoral thesis
    Open Access
    One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ...