• 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 ...
    • closedAccess   Gait Recognition by Ranking 

      Martín Félez, Raúl; Xiang, Tao Springer Berlin Heidelberg (2012)
      The advantage of gait over other biometrics such as face or fingerprint is that it can operate from a distance and without subject cooperation. However, this also makes gait subject to changes in various covariate conditions ...
    • 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 ...
    • closedAccess   Gender Classification from Pose-Based GEIs 

      Martín Félez, Raúl; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador Springer Berlin Heidelberg (2012)
      This paper introduces a new approach for gait-based gender classification in which some key biomechanical poses of a gait pattern are represented by partial Gait Energy Images (GEIs). These pose-based GEIs can more accurately ...
    • openAccess   Human recognition based on gait poses 

      Martín Félez, Raúl; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador Springer (2011)
      This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. Pose-based ...
    • openAccess   Melodic track identification in MIDI files considering the imbalanced context 

      Martín Félez, Raúl; Mollineda, Ramón A.; García, Vicente Springer Verlag (Germany) (2009)
      In this paper, the problem of identifying the melodic track of a MIDI file in imbalanced scenarios is addressed. A polyphonic MIDI file is a digital score that consists of a set of tracks where usually only one of them ...
    • openAccess   On the suitability of combining feature selection and resampling to manage data complexity 

      Martín Félez, Raúl; Mollineda, Ramón A. Springer Verlag (2010)
      The effectiveness of a learning task depends on data com- plexity (class overlap, class imbalance, irrelevant features, etc.). When more than one complexity factor appears, two or more preprocessing techniques should be ...
    • 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 ...
    • closedAccess   Uncooperative gait recognition by learning to rank 

      Martín Félez, Raúl; Xiang, Tao Elsevier (2014)
      Gait is a useful biometric because it can operate from a distance and without subject cooperation. However, it is affected by changes in covariate conditions (carrying, clothing, view angle, etc.). Existing methods suffer ...