Listar INIT_Articles por autoría "abd86b3d-e95c-4991-80df-ed61196e812c"

Mostrando ítems 1-5 de 5

    • closedAccess   ATM-based analysis and recognition of handball team activities 

      Montoliu Colás, Raul; Martín Félez, Raúl; Torres-Sospedra, Joaquín; Rodríguez Pérez, Sergio Elsevier (2015)
      In this paper, a new methodology based on the Author Topic Model (ATM) method is presented to perform team activity recognition and analysis in handball videos. Instead of using players׳ trajectories we just rely on low ...

    • openAccess   Gait recognition from corrupted silhouettes: a robust statistical approach 

      Ortells Lorenzo, Javier; Mollineda, Ramón A.; Mederos, Boris; Martín Félez, Raúl Springer Verlag (2016-07)
      This paper introduces a method based on robust statistics to build reliable gait signatures from averaging silhouette descriptions, mainly when gait sequences are affected by severe and persistent defects. The term robust ...

    • openAccess   Gait-based Gender Classification Considering Resampling and Feature Selection 

      Martín Félez, Raúl; García, Vicente; Sánchez Garreta, Josep Salvador Engineering and Technology Publishing (2013-06)
      Two intrinsic data characteristics that arise in many domains are the class imbalance and the high dimensionality, which pose new challenges that should be addressed. When using gait for gender classification, benchmarking ...

    • openAccess   Surrounding neighborhood-based SMOTE for learning from imbalanced data sets 

      García, Vicente; Sánchez Garreta, Josep Salvador; Martín Félez, Raúl; Mollineda, Ramón A. Springer (2012)
      Many traditional approaches to pattern classifi- cation assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the ratios ...

    • 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 ...