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Home Teaching Winter Semester 2018/19 Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS)

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teaching:ws2018:ml4cv [2019/04/18 11:20]
Ioannis Chiotellis
teaching:ws2018:ml4cv [2019/10/23 16:54] (current)
Ioannis Chiotellis
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 14. {{teaching:​ws2018:​ml4cv:​sampling.pdf | Sampling}} \\ 14. {{teaching:​ws2018:​ml4cv:​sampling.pdf | Sampling}} \\
  
-==Exercises== +
-0. {{teaching:​ws2018:​ml4cv:​ex0_linalg.pdf | Linear Algebra}} +
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-1. {{teaching:​ws2018:​ml4cv:​ex1_probs.pdf | Probabilistic Reasoning}} +
-\\ +
-2. {{teaching:​ws2018:​ml4cv:​ex2_regression.pdf | Regression}} +
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-3. {{teaching:​ws2018:​ml4cv:​ex3_pgms.pdf | Graphical Models}}  +
-{{teaching:​ws2018:​ml4cv:​graph.py.zip | graph.py}} +
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-4. {{teaching:​ws2018:​ml4cv:​ex4_bagging_boosting.pdf | Bagging and Boosting}}  +
-{{teaching:​ws2018:​ml4cv:​banknote_auth.zip | banknote_auth.zip}} +
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-5. {{teaching:​ws2018:​ml4cv:​ex5_metric_learning.pdf | Metric Learning}}  +
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-6. {{teaching:​ws2018:​ml4cv:​ex6_kernels_gps.pdf | Kernels and Gaussian Processes}} +
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-7. {{teaching:​ws2018:​ml4cv:​ex7_deeplearning.pdf | Deep Learning}} +
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-8. {{teaching:​ws2018:​ml4cv:​ex8_clustering1.pdf | Clustering}} +
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-9. {{teaching:​ws2018:​ml4cv:​ex9_vi.pdf | Variational Inference |}} +
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-10. {{teaching:​ws2018:​ml4cv:​ex10_vi2.pdf | Variational Inference ||}} +
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-11. {{teaching:​ws2018:​ml4cv:​ex11_sampling.pdf | Sampling}} +
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