HUT - CIS /Opinnot/T-61.231/2001/luentorunko2001

PRELIMINARY COURSE SCHEDULE

The lectures are based mainly on the book:

"Pattern Recognition", S. Theodoridis and K. Koutroumbas, 1999, Academic press. (Theodoridis)

The book can be bought at for example

Material is also presented from the book:

"Pattern Recognition:Statistical, Structural and Neural Approaches", Robert Schalkoff, J. Wiley & Sons, 1992. (Schalkoff)

The book can be bought at for example Amazon.com.

The slides from the lectures are available in one file in pdf-format, slides will be appended and otherwise modified as the lectures progress, so it is recommended to check the file every now and then. The slides for individual lectures can be found beside the corresponding lecture in postscript format. The slides will also be distributed in the study material through otatieto, so do avoid unneccessary printing (and if you do print the slides, please use two-sided printing to save paper!)

lecture slides in pdf-format (in Finnish)

27.9.	1. lecture	Course introduction Introduction to pattern recognition Schalkoff chapter 1, Theodoridis chapters 1, 5, 10	Slides for lecture 1 (in Finnish)
1.10.	1. exercise
4.10.	2. lecture	Statistical methods Schalkoff chapter 2, Theodoridis 2.1-2.4	Slides for lecture 2 (in Finnish)
5.10.	3. lecture (one hour, first extra lecture)	Statistical methods continued Schalkoff chapter 3, Theodoridis 2.5-2.6	Slides for lecture 3 (in Finnish)
8.10.	3. exercise
11.10.	4. lecture	Statistical methods continued Schalkoff chapter 3, Theodoridis 2.5-2.6 Linear classifiers Schalkoff chapter 4, Theodoridis chapter 3	Slides for lecture 4 (in Finnish)
12.10.	5. lecture (one hour, second extra lecture)	Linear classifiers continued Schalkoff chapter 4, Theodoridis chapter 3	Slides for lecture 5 (in Finnish)
15.10.	4. exercise
18.10.	6. lecture	Non-linear classifiers Theodoridis chapter 4	Slides for lecture 6 (in Finnish)
22.10.	5. exercise
25.10.	7. lecture	Neural network-based methods Schalkoff chapter 10, Theodoridis chapter 4	Slides for lecture 7 (in Finnish)
29.10.	6. exercise
1.11.	8. lecture	Neural network-based methods continued Schalkoff chapter 12	Slides for lecture 8 (in Finnish)
5.11.	7. exercise
8.11.	9. lecture	Syntactic methods Schalkoff chapters 6 and 7	Slides for lecture 9 (in Finnish)
12.11.	8. exercise
15.11.	10. lecture	Syntactic methods continued Schalkoff chapter 8	Slides for lecture 10 (in Finnish)
19.11.	9. exercise
22.11.	11. lecture	Unsupervised learning and clustering Schalkoff chapters 5 and 13, Theodoridis chapters 11-15	Slides for lecture 11 (in Finnish)
26.11.	10. exercise
29.11.	12. lecture	Unsupervised learning and clustering Schalkoff chapters 5 and 13, Theodoridis chapters 11-15	Slides for lecture 12 (in Finnish)
3.12.	11. exercise

http://www.cis.hut.fi/Opinnot/T-61.231/2001/luentorunko2001_en.shtml
matti.aksela@hut.fi
Wednesday, 27-Aug-2003 17:48:27 EEST