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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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| Publicado no: | IEEE Trans Pattern Anal Mach Intell |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | 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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