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PRELIMINARY COURSE SCHEDULE

The lectures are based mainly on 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.

Material is also presented from the book: "Pattern Recognition", S. Theodoridis and K. Koutroumbas, 1999, Academic press. (Theodoridis)
The book can be bought at for example

For studying for the exam or getting a more precise overall picture of what was discussed, the Exam requirements-page is reccommended.

The slides from the lectures are available in one file in pdf-format, slides will be appended to the file as the lectures progress. 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!)

20.9. 1. lecture
  • Course introduction
  • Introduction to pattern recognition
  • Schalkoff chapter 1, Theodoridis chapters 1, 5, 10
    		• Slides for lecture 1
    (in Finnish)
    25.9. 1. exercise    
    27.9. 2. lecture
  • Statistical methods
  • Schalkoff chapter 2, Theodoridis 2.1-2.4
    		• Slides for lecture 2
    (in Finnish)
    2.10. 2. exercise    
    4.10. 3. lecture
  • Statistical methods continued
  • Schalkoff chapter 3, Theodoridis 2.5-2.6
    		• Slides for lecture 3
    (in Finnish)
    9.10. 3. exercise    
    11.10. 4. lecture
  • Linear classifiers
  • Schalkoff chapter 4, Theodoridis chapter 3
    		• Slides for lecture 4
    (in Finnish)
    16.10. 4. exercise    
    18.10. 5. lecture
  • Non-linear classifiers
  • Theodoridis chapter 4
    		• Slides for lecture 5
    (in Finnish)
    23.10. 5. exercise    
    25.10. 6. lecture
  • Neural network-based methods
  • Schalkoff chapter 10, Theodoridis chapter 4
    		• Slides for lecture 6
    (in Finnish)
    30.10. 6. exercise    
    1.11. 7. lecture
  • Neural network-based methods continued
  • Schalkoff chapter 12
    		• Slides for lecture 7
    (in Finnish)
    6.11. 8. lecture
  • Syntactic methods
  • Schalkoff chapters 6 and 7
    		• Slides for lecture 8
    (in Finnish)
    8.11. 9. lecture
  • Syntactic methods continued
  • Schalkoff chapter 8
    		• Slides for lecture 9
    (in Finnish)
    13.11. 7. exercise    
    15.11. 8. exercise    
    20.11. 9. exercise    
    22.11. 10. lecture
  • Unsupervised learning and clustering
  • Schalkoff chapters 5 and 13, Theodoridis chapters 11-15
    		• Slides for lecture 10
    (in Finnish)
    27.11. 10. exercise    
    29.11. 11. lecture
  • Recap
  • Demonstrations
    		•  
    4.12. 11. exercise No specific assignments, you may drop by to ask if there is something puzzling you (regarding the course)  



    This page is maintained by matti.aksela@hut.fi.
    Last updated 11.12.2000.
    URL: http://www.cis.hut.fi/cis/edu/Tik-61.231/