Dynamic multi-objective evolution of classifier ensembles for video face recognition

@article{Connolly2013DynamicME,
  title={Dynamic multi-objective evolution of classifier ensembles for video face recognition},
  author={Jean-François Connolly and {\'E}ric Granger and Robert Sabourin},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={3149-3166}
}
Due to a limited control over changing operational conditions and personal physiology, systems used for video-based face recognition are confronted with complex and changing pattern recognition environments. Although a limited amount of reference data is initially available during enrollment, new samples often become available over time, through re-enrollment, post analysis and labeling of operational data, etc. Adaptive multi-classifier systems (AMCSs) are therefore desirable for the design… CONTINUE READING

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