• closedAccess   Modelling contextual constraints in probabilistic relaxation for multi-class semi-supervised learning 

      Martínez Usó, Adolfo; Pla, Filiberto; Martínez Sotoca, José Elsevier (2014)
      This paper proposes a semi-supervised approach based on probabilistic relaxation theory. The algorithm performs a consistent multi-class assignment of labels according to the contextual information constraints. We start ...
    • openAccess   Multidimensional Optical Sensing and Imaging Systems (MOSIS): From Macro to Micro Scales 

      Javidi, Bahram; Shen, Xin; Markman, Adam; Latorre Carmona, Pedro; Martínez Usó, Adolfo; Martínez Sotoca, José; Pla, Filiberto; Martínez Corral, Manuel; Saavedra, Genaro; Huang, Yi-Pai; Stern, Adrián Institute of Electrical and Electronics Engineers (IEEE) (2017)
      Multidimensional optical imaging systems for information processing and visualization technologies have numerous applications in fields such as manufacturing, medical sciences, entertainment, robotics, surveillance, and ...
    • closedAccess   Team activity recognition in Association Football using a Bag-of-Words-based method 

      Montoliu Colás, Raul; Martín Félez, Raúl; Torres-Sospedra, Joaquín; Martínez Usó, Adolfo Elsevier (2015-06)
      In this paper, a new methodology is used to perform team activity recognition and analysis in Association Football. It is based on pattern recognition and machine learning techniques. In particular, a strategy based on the ...
    • openAccess   Unsupervised colour image segmentation by low-level perceptual grouping 

      Martínez Usó, Adolfo; Pla, Filiberto; García-Sevilla, Pedro Springer (2013-11)
      This paper proposes a new unsupervised approach for colour image segmentation. A hierarchy of image partitions is created on the basis of a function that merges spatially connected regions according to primary perceptual ...