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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

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

  • Tuesday, 12:15 - 13:15, 02.134-113
  • Thursday, 8:30 - 9:30, E1.12, Cauerstr. 7

Both courses cover the same topics.

 

Start: April 21st, 2015

News

  • A nice overview over Hidden Markov Models can be found Opens external link in new windowhere.
  • No exercise on Tuesday (26.05) due to the Bergkirchweih and on Thursday (04.06) due to public holiday. Exercises on 28.05 and 02.06 will both cover exercise sheet 4.
  • No exercises this week (12.05 and 14.05) due to public holiday on the 14th.
  • Due to a mistake in the solution and the resulting confusion, we have uploaded a corrected derivation for exercise "Soft clustering 1c)". Sorry for the confusion!
  • ROOM CHANGE: Thursday's exercises are taking place in room Opens external link in new windowE1.12, Cauerstr. 7 starting 30.04.2015
  • The first exercise will take place in the second week of the summer term (21.04.2015)

Assignments

No.

Topic
Sheet & Material
0

Pattern recognition revisited

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1Clustering

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2Soft clustering

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3CART

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4Manifold Forest

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5Density EstimationInitiates file downloadPDF
6Density Estimation - continued

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7Mean Shift

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8Manifold Learning

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9Hidden Markov ModelsInitiates file downloadPDF