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Two-dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis
Principal component analysis (PCA) is widely applied in various areas, one of the typical applications is in face. Many versions of PCA have been developed for face recognition. However, most of these approaches are sensitive to grossly corrupted entries in a 2D matrix representing a face image. In...
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| Yayımlandı: | IEEE Trans Pattern Anal Mach Intell |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2015
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5023014/ https://ncbi.nlm.nih.gov/pubmed/26595910 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2015.2501810 |
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