Image understanding: supervised learning: classification: support vector machine: slack variables

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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.
  1. Hany Farid, Professor at UC Berkeley
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