Pattern Recognition (Exercises)

• 1. Please prepare your own project topic for the first exercise (16.04)
• 2. Please bring your own laptop (and smart-phone) to the exercises
• 3. Please install the newest version of Android SDK on your laptop http://developer.android.com/sdk/index.html

• 1. Since the Summer Term 2013 a Registration for the Course in the LSF is obligatory.
• 2. Exercises are held every two weeks (according to the schedule given in PDF).
• 3. Presence on classes is mandatory.
• 4. Each Student is allowed one unexcused absence during the semester. Each subsequent absence should be confirmed by a sick leave.
• 5. For each class the Student should present the progress of the work.
• 6. On the last class, Students should submit the results of their work (5-10 min presentation).
• 7. Students are required to work independently in the classroom.
• 8. Ready source code along with a brief specification in English (1-2 typed pages) should be sent to the tutor up to a week after the last exercise.
• 9. Evaluation of the course is an arithmetic mean of the ratings for the presentation and the source code (with the specification).

3 Materials

• SVM data classification: file
• Features extraction: file
• Classifiers in Matlab: file