Revisiting Linear Discriminant Techniques in Gender Recognition

@article{BekiosCalfa2011RevisitingLD,
  title={Revisiting Linear Discriminant Techniques in Gender Recognition},
  author={Juan Bekios-Calfa and Jos{\'e} Miguel Buenaposada and Luis Baumela},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2011},
  volume={33},
  pages={858-864}
}
Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resource-limited algorithms. Linear classification techniques have an important role to play in this context, given their simplicity and low computational requirements. The paper reviews the state-of-the-art in gender classification, giving special attention to linear techniques and their relations. It discusses why linear techniques are not achieving competitive… CONTINUE READING
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