Discriminant Analysis via Joint Euler Transform and ℓ2, 1-Norm.

IEEE Transactions on Image Processing(2018)

引用 27|浏览46
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摘要
Linear discriminant analysis (LDA) has been widely used for face recognition. However, when identifying faces in the wild, the existence of outliers that deviate significantly from the rest of the data can arbitrarily skew the desired solution. This usually deteriorates LDA's performance dramatically, thus preventing it from mass deployment in real-world applications. To handle this problem, we pr...
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关键词
Pattern recognition,Robustness,Feature extraction,Principal component analysis,Transforms,Linear discriminant analysis
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