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Exercises

The exercise courses take place on:

Monday 12:15 - 13:00 (00.151-113)

Thursday 10:15 - 11:00 (02.133-113)


Both courses cover the same topics. If there are any questions regarding the exercises that could not be clarified within the courses, feel free to write to Opens window for sending emailfranziska.schirrmacher(at)fau.de

News

The lecture on Tuesday 22th of January will be a summary of the lecture where you can ask questions.

Welcome to the Exercises for Introduction to Pattern Recognition!

The topics are practical tasks that are closely related to the lecture. Please keep in mind that the exercise will be part of the exam.

Both exercise sessions cover the same content. For all exercises, Opens external link in new windowJupiter Notebooks will be provided where you have to fill in code snippets.

A single session will typically take about 45 minutes. Exercise sheets and their solutions will become available on this website.

Older lecture videos are available at Opens external link in new window (only accessible if you are inside the university network; if you want to watch the videos from home, consider to tunnel the connection). Be aware that the contents of the lecture have changed since then!

Some remarks about programming


We will shortly go over the Python code for the practical exercises in the sessions. The solutions will be provided (password-protected) after another week. The password will be announced in the next sessions, or by request (write me an Opens window for sending emailemail).

Assignments

Exercise Date Notebook Hints
1 Introduction to Python   22.10. || 25.10.

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2 Plotting functions05.11. || 08.11.

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3 Sampling12.11. || 15.11.

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4 Quantization19.11. || 22.11.

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5 Pre-processing26.11. || 29.11.

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6 Image sharpening03.12. || 06.12.

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7 Morphological operators10.12. || 13.12.

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8 Fourier Analysis17.12. || 20.12.

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9 2-D Fourier Domain Filtering07.01. || 10.01.

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10 Wavelet Transform14.01. || 17.01.

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11 Eigenfaces21.01. || 24.01.

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12 Classification28.01. || 31.01.

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13 Summary04.02. || 07.02.