Machine Learning for Computer Vision
MVA Master
Lecture notes
Lecture 1: Introduction to classification
Lecture 2: Logistic Regression [assignment 1]
Lecture 3: Support Vector Machines
Lecture 4: Boosting/Ensemble Methods [assignment 2]
Lecture 5: Generative Models, EM algorithm
Lecture 6: Graphical Models, DPMs [assignment 3]
Lecture 7: Fast detection with DPMs
Lecture 8: Deep Learning for High Level vision
Deliverable: Object detection
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