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| author | Paweł Redman <pawel.redman@gmail.com> | 2026-06-14 18:52:46 +0200 |
|---|---|---|
| committer | Paweł Redman <pawel.redman@gmail.com> | 2026-06-14 18:52:46 +0200 |
| commit | 8ce3589d02e14322fc9aa7fe647a6f4f66a4eb59 (patch) | |
| tree | 6e3b0989f171c7c14d8d6f3e432ea0571d1e2160 /site/content/gsoc/otsu2018_3.typ | |
| parent | 89a67854f5af72836498a9412f759d4337fad32d (diff) | |
Fix typos in migrated GSoC posts
Co-authored-by: Cursor <cursoragent@cursor.com>
Diffstat (limited to 'site/content/gsoc/otsu2018_3.typ')
| -rw-r--r-- | site/content/gsoc/otsu2018_3.typ | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/content/gsoc/otsu2018_3.typ b/site/content/gsoc/otsu2018_3.typ index aa1666e..c37b8d8 100644 --- a/site/content/gsoc/otsu2018_3.typ +++ b/site/content/gsoc/otsu2018_3.typ @@ -5,7 +5,7 @@ date: datetime(year: 2020, month: 7, day: 26), ) -In the #link-self("gsoc/otsu2018_2")[previous post] I explained how PCA can be used to create a convenient basis for representing real-world reflectivities. The procedure uses a set of measured spectra to compute an orthonormal basis, sorted by variance or "statistical significance." All but the three most significant vectors are then truncated. I called the difference between the actual spectrum and the reconstructed error term $bold(epsilon)$. +In the #link-self("gsoc/otsu2018_2")[previous post] I explained how PCA can be used to create a convenient basis for representing real-world reflectivities. The procedure uses a set of measured spectra to compute an orthonormal basis, sorted by variance or "statistical significance." All but the three most significant vectors are then truncated. I called the difference between the actual spectrum and the reconstructed spectrum the error term $bold(epsilon)$. Naturally the smaller the error, the better. Because $bold(epsilon)$ is a vector, the authors chose the Euclidean norm (2-norm or L2) to represent the (scalar) error: $ |
