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IPM
30
YEARS OLD

“School of Cognitive Sciences”

Paper   IPM / Cognitive Sciences / 7860
   School of Cognitive Sciences
  Title: Face Recognition: An Ensemble Neural Network with Co-Evolutionary Algorithm Approach
  Author(s):
1 . R. Ebrahimpour
2 . M. Mazloom
3 . C. Lucas
  Status: In Proceedings
  Proceeding: 2nd IEEE-GCC Conference
  Year: 2004
  Supported by: IPM
  Abstract:
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult. We present an Ensemble Neural Network (Neural-Fusion) solution which compares favorably with other methods. We propose a co-evolutionary system to design Neural Networks Ensemble. This method addresses the issues of automatic determination of the number of individual NNs in an ensemble and the exploitation of the interaction between individual NN design and combination. Experiments on Two face databases demonstrate that the proposed method can produce NN ensembles with good generalization ability

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