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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 8805
School of Cognitive Sciences
  Title:   View-independent Face Recognition with Mixture of Experts
  Author(s): 
1.  Reza Ebrahimpour
2.  Ehsanollah Kabir
3.  Hossein Esteky
4.  Mohammad Yousefi
  Status:   Published
  Journal: Neurocomputing
  Vol.:  71
  Year:  2008
  Pages:   1103-1107
  Supported by:  IPM
  Abstract:
A model for view-independent face recognition, based on Mixture of Experts, ME, is presented. Instead of allowing ME to partition the face space automatically, it is directed to adapt to a particular partitioning corresponding to predetermined views. Experimental results show that this model performs well in recognizing faces of intermediate unseen views. There are neurophysiological evidences that underpin the proposed model, reporting similar mechanisms of pooling the outputs of several view-specific modules to perform view-independent face recognition.

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