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I am familiar with using autoencoders to detect Fraud in credit card transactions, But my data is a time series one. Thanks
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Does it use SVM? What is the “peak value” returned and what is its range? what is the benefit of using correlation filters? where actually it look in the new frame for the object?
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If I will test my classifier using images that include the target object in an image among other items. I assume a sliding window is used.
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These features will be input to a classifier
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