Session 2 :: 12th June :: Classifiers






12.6.2020 / AE500612 :: Neighbors & Classifiers
Teasers
Teaser 0 :: Master in Design & Computation
TU / UdK Master Program
https://www.design-computation.berlin/
apply until 31.7.2020
Teaser 1 :: Umfrage zur digitalen Semester
https://survey.wi.uni-potsdam.de/index.php/152432?newtest=Y&lang=de
Teaser 2 :: Bäume der Erkenntnis
https://www.arte.tv/de/videos/RC-015184/baeume-der-erkenntnis/
Your projects
Johannes
Fred

scene change detection

finding differences between two images

uses OpenCV

method 1 :: based on subtraction of consecutive frames, RGB values of result of subtraction are thresholded and yield a binary image; finally, one counts the amount of white pixels

method 2 :: uses histogram distributions

#clover AI
Classifiers
Logistic Regression
k-Nearest Neighbors
Support Vector Machines
An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on the side of the gap on which they fall.
Next sessions
19.6. 12:00 - 13:30 Digital
26.6. 12:00 - 13:30 Digital
10.7. 10:00 - ?? Physical (Kleistpark)

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