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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.
Image understanding: supervised learning: regression: total least-squares: line fitting
Image understanding: supervised learning: regression: least-squares, summary
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Image understanding: supervised learning: regression: iterative least-squares, intuition
Image understanding: supervised learning: regression: weighted least-squares: line fitting
Image understanding: supervised learning: regression: total least-squares: line fit, implement
Image understanding: supervised learning: regression: least-squares: line fitting
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Image understanding: supervised learning: regression: least-squares: parabola fitting
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Image understanding: supervised learning: regression: iterative least-squares, gradient descent
Image understanding: supervised learning: regression: least-squares: line fitting, y = mx
Image understanding: supervised learning: regression: weighted least-squares: line fitting
Image understanding: supervised learning: regression: least-squares: line fitting, y = mx + b
Image understanding: supervised learning: regression: total least-squares: line fitting, ax + by = 0
Image understanding: supervised learning: regression: iterative least-squares, conjugate gradient
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Image understanding: supervised learning: regression: weighted least-squares: line fit, implement
Image understanding: supervised learning: regression: iterative least-squares, steepest descent, imp
Image understanding: supervised learning: regression: iterative least-squares, steepest descent
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