Now showing items 1-3 of 3

    • Automated description of the mandible shape by deep learning 

      Vila Blanco, Nicolás; Varas Quintana, Paulina; Aneiros Ardao, Ángela; Tomás Carmona, Inmaculada; Carreira Nouche, María José (Springer, 2021)
      Purpose: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological information such as age, gender, and race ...
    • A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques 

      Pichel Campos, Juan Carlos; Pateiro López, Beatriz (IEEE, 2018)
      In this paper, a new methodology to select the best storage format for sparse matrices based on deep learning techniques is introduced. We focus on the selection of the proper format for the sparse matrix-vector multiplication ...
    • Short-term anchor linking and long-term self-guided attention for video object detection 

      Cores Costa, Daniel; Brea Sánchez, Víctor Manuel; Mucientes Molina, Manuel Felipe (Elsevier, 2021)
      We present a new network architecture able to take advantage of spatio-temporal information available in videos to boost object detection precision. First, box features are associated and aggregated by linking proposals ...





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