HUT - CIS /Opinnot/T-61.231/2002/luentorunko2002

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 (in Finnish) 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!)

Note! The slides in the table below are from the lectures of this year's course. The missing files will be added during the course. The lecture slides of the year 2001 are available

as a single package in pdf-format here.
for each lecture separately in the year 2001 lecture schedule.

16.9.	Lecture 1	Course introduction Introduction to pattern recognition Schalkoff chapter 1, Theodoridis chapters 1, 5, 10	Slides for lecture 1 (in Finnish)
23.9.	Lecture 2	Statistical methods Schalkoff chapter 2, Theodoridis 2.1-2.4	Slides for lecture 2 (in Finnish)
23.9.	Exercise 1
30.9.	Lecture 3	Statistical methods continued Schalkoff chapter 3, Theodoridis 2.5-2.6	Slides for lecture 3 (in Finnish)
30.9.	Exercise 2
7.10.	Lecture 4	Linear classifiers Schalkoff chapter 4, Theodoridis chapter 3	Slides for lecture 4 (in Finnish)
7.10.	Exercise 3
14.10.	Lecture 5	Non-linear classifiers Theodoridis chapter 4	Slides for lecture 5 (in Finnish)
14.10.	Exercise 4
21.10.	Lecture 6	Neural network-based methods Schalkoff chapter 10, Theodoridis chapter 4	-
21.10.	Exercise 5
28.10.	Lecture 7	Neural network-based methods continued Schalkoff chapter 12	-
28.10.	Exercise 6
4.11.	Lecture 8	Syntactic methods Schalkoff chapters 6 and 7	-
4.11.	Exercise 7
11.11.	Lecture 9	Syntactic methods continued Schalkoff chapter 8	-
11.11.	Exercise 8
18.11.	Lecture 10	Unsupervised learning and clustering Schalkoff chapters 5 and 13, Theodoridis chapters 11-15	-
18.11.	Exercise 9
25.11.	Lecture 11	Unsupervised learning and clustering Schalkoff chapters 5 and 13, Theodoridis chapters 11-15	-
25.11.	Exercise 10
2.12.	Exercise 11

http://www.cis.hut.fi/Opinnot/T-61.231/2002/luentorunko2002_en.shtml
markus.koskela@hut.fi
Wednesday, 27-Aug-2003 17:54:17 EEST