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Structural two-dimensional principal component analysis for image recognition

✍ Scribed by Haixian Wang


Publisher
Springer-Verlag
Year
2009
Tongue
English
Weight
391 KB
Volume
22
Category
Article
ISSN
0932-8092

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A note on principal component analysis f
✍ Jianguo Sun πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 77 KB

We consider the application of principal component analysis (PCA) to the analysis of high-dimension data with the analysis goal being calibration. Two commonly used versions of PCA are compared and it is showed that contrast to the expected, the simpliΓΏed version could underestimate prediction error