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Classification in Computer Vision - Lecture 18

Classification in Computer Vision - Lecture 18

UCF CRCV via YouTube Direct link

Nearest Neighbor

10 of 17
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Nearest Neighbor

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Classroom Contents

Classification in Computer Vision - Lecture 18

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  1. 1 Intro
  2. 2 Course Project
  3. 3 deliverables
  4. 4 discussion
  5. 5 Questions
  6. 6 Classification
  7. 7 Features
  8. 8 Functions
  9. 9 Linear Classification
  10. 10 Nearest Neighbor
  11. 11 Testing Sample
  12. 12 Pop Quiz
  13. 13 Decision Boundary
  14. 14 Algorithm
  15. 15 Problems
  16. 16 Linear Classifier
  17. 17 Maximum Margin Classifier

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