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A NOTE ON CONVOLUTION AND PADDING FOR TWO-DIMENSIONAL DATA

✍ Scribed by V. K. GUPTA; N. RAMANI


Book ID
108757157
Publisher
John Wiley and Sons
Year
1978
Tongue
English
Weight
196 KB
Volume
26
Category
Article
ISSN
0016-8025

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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