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Exercises

The course covers theoretical as well as practical exercises. In the theoretical part the understanding of topics introduced in the lecture should be trained. In practial exercises the participants will implement algorithms of pattern analysis in Matlab.

The exercise takes place

  • Wednesday, 12:15 - 13:15, 00.151-113
  • Thursday, 12:30 - 13:30, 00.151-113

Both courses cover the same topics.

 

Start: April 16th, 2014

News

  • The first exercise will take place in the second week of the summer term (16.04.2014)
  • For the Wednesday exercise course we will move to the room 00.151-113 (ground floor, computer science building)
  • On  May 7th, 2014 the Wednesday class will take place in  0.154-115 (EEI building, Cauerstr. 7/9, ground floor)
  • This week (30.04, 01.05) due to public holiday only the Wednesday class will take place. The Thursday class (topic: soft clustering) will be moved to Tuesday, 13.05, 8:15am (H16)
  • There will be no exercises on Wednesday, 28.05 and Thursday, 29.05. We will move the Wednesday exercise to Monday, 02.06 (8:15 am) and the Thursday exercise to Tuesday, 03.06 (8:15 am). In this week, no PA lecture will take place.
  • Due to the public holiday, there will be no exercise on Wednesday, 18.06 and Thursday, 19.06.

  • NEW: As blue computer science building will be closed during the summer, we have to move to other seminar rooms at the following dates:

    • Wednesday, 09.07.2014: EE 0.135 (Cauerstraße 4)
    • Thursday, 10.0.2014: 01.151-128

Assignments

No.

Topic
Sheet & Material
0

Pattern recognition revisited

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1

Hard clustering

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2

Soft clustering

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3Probability Density Estimation (Part I)

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4

Probability Density Estimation (Part II)

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5

Regression Trees

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6

Mean Shift Algorithm

 

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7Manifold Learning (updated 06/24)

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8

Markov Random Fields

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