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Why does one use MSE as a measure of quality. What is the scientific/mathematical reason for the same?

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Mean-Square error is an error metric for measuring image or video quality it is popular video and image quality metric because the analysis and mathematics is easier with this L2-Norm metric. Most video and image quality experts will agree that MSE is not a very good measure of perceptual video and image quality.

The mathematical reasoning behind the MSE is as follows: For any real applications, noise in the readings or the labels is inevitable. We generally assume this noise follows Gaussian distribution and this holds perfectly well for most of the real applications. Considering 'e' follows gaussian distribution in y=f(x) + e and calculating the MLE, we get MSE which is also L2 distance. Note: Assuming some other noise distribution may lead to other MLE estimate which will not be MSE.

How would you code up a custom rectangle detector?

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What is your favorite technical acronym?

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What are the three different types of graphics card interfaces.

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What is SLI?

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If you could work in any department in the store, which would you choose?

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Before the interviews, you will be given several acronyms to remember for the interviews.

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do you have a criminal history

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How organized are you?

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