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003-Experiments with Harsh Mixing

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003-Experiments with Harsh Mixing

1.
Setting​

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Normalize data to (0-0.25), Gaussian blur, to simulate spectrum addition​

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channel to a single value, which is then followed by a linear layer.​

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Logistic regression, BCE loss.​

2.
Experiment 1: EMNIST.Digits​

2.1 Config

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ENIST digits 0-7 training​

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Random r/2 + 0.1 on the clean and all mixting (Note this is different from Exp2, where the weights of two signals added to 1.0)​

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White: Gaussian noise​

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Square: corrupted by small squares​

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Mix: A clean mixed with 1-3 images that are all in the target set​

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Scale: one corruption image * scale 1-3​

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Overlap: 1-3 corruption images overlapped​

2.2 Results