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Which of the data augmentation technique would you prefer for an object recognition problem?
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Which of the data augmentation technique would you prefer for an object recognition problem?
Which object recognition process is an error-prone process?
Which provides a framework for studying object recognition?
Which can be deformed into alignment using simple coordinate transformations?
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What enables people to recognize people, animals and inanimate objects reliably?
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What can be represented by using histograms or empirical frequency distributions?
How the distance between two shapes can be definied?
Which are recognized by vision?
Which describes the coarse arrangement of the rest of the shape with respect to the point?
Which is the only way to learn about the different kinds of human faces
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