Duda, Richard O., Peter E. Hart, and David G. Stork. Pattern Classification. New York, NY: John Wiley & Sons, 2000. ISBN: 9780471056690.
Microsoft® PowerPoint® slides, errata and other useful information about the textbook can be found here. The textbook is referred to as DHS further below.
| SES # | READINGS |
|---|---|
| 1 | DHS. Chapters 1 and A.1-A.2. |
| 2 | DHS. Chapters A.2-A.5. |
| 3 | DHS. Chapters 2.1-2.4. (can skip 2.3.1, 2.3.2) |
| 4 | DHS. Chapters 2.5-2.7. |
| 5 | DHS. Chapters 2.8.3, 2.9, and 3.1-3.2. |
| 6 | DHS. Chapters 3.1-3.5.1. |
| 7 |
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| 8 |
DHS. Chapters 3.7.1-.3 and 3.8. Optional ReadingTurk, M., and A. Pentland. "Eigenfaces for Recognition." Journal of Cognitive Neuroscience 3, no. 1 (1991): 71-86. |
| 9 |
DHS. Chapters 2.11. Optional ReadingBelhumeur, P. N., J. P. Hespanha, and D. J. Kriegman. "Eigenfaces Vs. Fisherfaces: Recognition Using Class Specific Linear Projection." IEEE Transactions on Pattern Analysis and Machine Intelligence 19, no. 7 (1997): 711-720. |
| 10 | Murphy, Kevin. "A Brief Introduction to Graphical Models and Bayesian Networks." |
| 11 | Rabiner, L. R. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition." Proceedings of the IEEE 77, no. 2 (1989): 257-286. |
| 12 | Rabiner, L. R. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition." Proceedings of the IEEE 77, no. 2 (1989): 257-286. |
| 13 | DHS. Chapters 2.10 and 3.9. |
| 14 | |
| 15 |
DHS. Chapters 10.2-10.4.2. Optional ReadingKlarreich, Erica. "Election Selection." Science News 162, no. 18 (2002): 280. Smith, Warren D. "Range Voting: The Best Way to Select a Leader?" |
| 16 | DHS. Chapters 4.1-4.6, DHS. Chapters 5.1-5.5.1, and 5.8.1. |
| 17 | DHS. Chapters 6.1-6.6 and 6.8. |
| 18 | |
| 19 | |
| 20 | |
| 21 | DHS. Chapters 10.4.3, 10.4.4, and 10.6-10.10. |
| 22 |
DHS. Chapters A.7 and 8.1-8.4. Somol, P., and P. Pudil. "Feature Selection Algorithms - A Brief Guide." |
| 23 | |
| 24 | |
| 25 | |
| 26 |