- 8/29: Introduction (pdf)
- 8/31: Metric Learning (pdf)
- 9/5: 1-D Gaussians (pdf)
- 9/7: Multivariate Gaussians (pdf)
- 9/12: Eigenvectors (pdf); MP1 due
- 9/14: Classifiers
- 9/19: PCA (pdf); MP2 walkthrough
- 9/21: Speech Production (pdf)
- 9/26: Exam 1 review (pdf); MP2 due
- 9/28: Exam 1
- 10/3: Speech Perception (pdf); MP3 walkthrough
- 10/5: Speech Perception
- 10/10: Gaussian Mixture Models (html); MP3 due
- 10/12: Expectation Maximization (html)
- 10/17: Expectation Maximization (html); MP walkthrough
- 10/19: Hidden Markov Model
- 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
- 10/26: Exam 2
- 10/31: Baum-Welch algorithm; MP5 walkthrough
- 11/2: Baum-Welch and Scaled Baum-Welch (html)
- 11/7: MP5 due. Lecture canceled; instead, watch this video lecture on Adaboost (powerpoint, pdf).
- 11/9: Lecture canceled; instead, watch this mp6 walkthrough, and if you like, you can also watch this optional video.
- 11/14: Motion Vectors
- 11/16: Decimation and Interpolation (html)
- 11/28: Affine Transforms and Barycentric Coordinates; MP6 due
- 11/30: Neural Nets
- 12/5: MP7 walkthrough
- 12/7: Lecture canceled
- 12/12: Exam 3 review; MP7 due
- TBA: Exam 3