Syllabus

Lectures

Articles

Homework

Piazza

Compass

  1. 8/29: Introduction (pdf)
  2. 8/31: Metric Learning (pdf)
  3. 9/5: 1-D Gaussians (pdf)
  4. 9/7: Multivariate Gaussians (pdf)
  5. 9/12: Eigenvectors (pdf); MP1 due
  6. 9/14: Classifiers
  7. 9/19: PCA (pdf); MP2 walkthrough
  8. 9/21: Speech Production (pdf)
  9. 9/26: Exam 1 review (pdf); MP2 due
  10. 9/28: Exam 1
  11. 10/3: Speech Perception (pdf); MP3 walkthrough
  12. 10/5: Speech Perception
  13. 10/10: Gaussian Mixture Models (html); MP3 due
  14. 10/12: Expectation Maximization (html)
  15. 10/17: Expectation Maximization (html); MP walkthrough
  16. 10/19: Hidden Markov Model
  17. 10/24: Exam Review will cover questions from spring 2014 exam 2 and spring 2015 exam 1 and maybe spring 2016 exam 1; MP4 is due
  18. 10/26: Exam 2
  19. 10/31: Baum-Welch algorithm; MP5 walkthrough
  20. 11/2: Baum-Welch and Scaled Baum-Welch (html)
  21. 11/7: MP5 due. Lecture canceled; instead, watch this video lecture on Adaboost (powerpoint, pdf).
  22. 11/9: Lecture canceled; instead, watch this mp6 walkthrough, and if you like, you can also watch this optional video.
  23. 11/14: Motion Vectors
  24. 11/16: Decimation and Interpolation (html)
  25. 11/28: Affine Transforms and Barycentric Coordinates; MP6 due
  26. 11/30: Neural Nets
  27. 12/5: MP7 walkthrough
  28. 12/7: Lecture canceled
  29. 12/12: Exam 3 review; MP7 due
  30. TBA: Exam 3