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Why “Review of Linear Algebra” is so important for me to have Surface Area Study.

It is necessary that beneficial to understand Spectrometry data informatio with Linear Regressions and statics background.

Suna Yoon · 2019-08-19 15:42 · 0 claps · 0.9 min read
#surface-area #surface-ai #xp #ax #synchrotron
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Wiki topics: ML · Machine Learning 📐 · Mathematics

Why “Review of Linear Algebra” is so important for me to have Surface Area Study.

It is necessary that beneficial to understand Spectrometry data informatio with Linear Regressions and statics background.

Nanoparticle morphology of the crystal growth is interlocking on the plate. It is challenged to select the one piece of peaks.

Image referring to Surface AI abstract

The current target pixel is area A(2, 2), or gid is (2,2) the neighboring pixels are A(1,1), A(1,2), A(1,3),A(2,1),A(2,3),A(3,1),A(3,2),A(3,3)

in the case of 3x3 matrix

Using these pixels, A`(2,2) is calculated to the convolution. (3x3 partial filtering)

Weighting each pixel is a key of this process. The weights, or called Kernel, is also represented by matrix.

Then the convolution is where k is determined by kernel size. If the kerne is 3x3 matrix, k =1.

The image border brings a new calculation with some choices.


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