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Pattern Recognition and Analysis >> Content Detail



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Amazon logo 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.

Pattern Classification


SES #READINGS
1DHS. Chapters 1 and A.1-A.2.
2DHS. Chapters A.2-A.5.
3DHS. Chapters 2.1-2.4. (can skip 2.3.1, 2.3.2)
4

DHS. Chapters 2.5-2.7.

5DHS. Chapters 2.8.3, 2.9, and 3.1-3.2.
6DHS. Chapters 3.1-3.5.1.
7

Amazon logo Russell, Stuart, and Peter Norvig. Artificial Intelligence: A Modern Approach. Upper Saddle River, NJ: Prentice Hall, 2002, chapter 21. ISBN: 9780137903955.

8

DHS. Chapters 3.7.1-.3 and 3.8.



Optional Reading


Turk, M., and A. Pentland. "Eigenfaces for Recognition." Journal of Cognitive Neuroscience 3, no. 1 (1991): 71-86.

9

DHS. Chapters 2.11.



Optional Reading


Belhumeur, 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.

10Murphy, Kevin. "A Brief Introduction to Graphical Models and Bayesian Networks."
11Rabiner, L. R. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition." Proceedings of the IEEE 77, no. 2 (1989): 257-286.
12Rabiner, L. R. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition." Proceedings of the IEEE 77, no. 2 (1989): 257-286.
13DHS. Chapters 2.10 and 3.9.
14
15

DHS. Chapters 10.2-10.4.2.



Optional Reading


Klarreich, Erica. "Election Selection." Science News 162, no. 18 (2002): 280.

Smith, Warren D. "Range Voting: The Best Way to Select a Leader?"

16DHS. Chapters 4.1-4.6, DHS. Chapters 5.1-5.5.1, and 5.8.1.
17DHS. Chapters 6.1-6.6 and 6.8.
18
19
20
21DHS. 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

 








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