Feature Selection in Face Recognition: A Sparse Representation Perspective

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Summary

If sparsity in the recognition problem is properly harnessed, the choice of features is no longer critical and the differences in performance between different features become insignificant as the feature-space dimension is sufficiently large.

Type
article
Published
2007-01-01
Cited by
199
References
44

Keywords

Pattern recognition (psychology), Sparse approximation, Facial recognition system, Artificial intelligence, Linear subspace

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