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Courses in fall semester 2018
Lecture Pattern Recognition

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Slides

01_Introduction.pdf
02_Examples.pdf
03_Bayes.pdf
04_Density_Estimation_1.pdf
04_Density_Estimation_2GMMs.pdf
04_Density_Estimation_3.pdf
05_Linear_Classifier.pdf
05b_Logistic_Regression.pdf
06_Nonlinear_Classifier_1.pdf
07_Nonlinear_Classifier_2.pdf
      SVM.pdf
08_DecisionTree_Forests.pdf
09_ADA_Boost.pdf
      IntroToBoosting.pdf
10_NaiveBayes.pdf
11_Linear_Tranforations.pdf
      SVD_NR.pdf
12_Wavelets.pdf
      Wavelets_for_Graphics.pdf

......

Exercises

HS2018_schedule.pdf
ProbabilityTutorial
Exercise-0
Exercise-1
Exercise-2
Exercise-3
Exercise-4

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