Image understanding: supervised learning: regression: total least-squares: line fitting

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Learn Computer Vision: These lectures introduce the theoretical and practical aspects of computer vision from the basics of the image formation process in digital cameras, through basic image processing, space/frequency representations, and techniques for image analysis, recognition, and understanding.
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how do you generalize this model to a dataset that "don't pass through the origin" ? Do we need to "center" the data before using it ?

sandrocavallari