Mini-course "Learning with Structured Data". Lecture 1.1 (Christoph Lampert)

1,823 views · Published 16 September 2016 · 42:19 · Indexed 21 September 2026

Channel: ФКН ВШЭ · 2016 · Education

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Structured prediction methods have completely changed the way to solve machine learning problems on the recognition of complex objects with a large number of interdependent components.
The mini-course focuses on an in-depth introduction to the theory and applications of one of today's most popular approaches to solving such problems - discrete probabilistic graphical models.
Using examples from computer vision, we will look at various learning and inference algorithms in graphical models, such as
- Confidence propagation (dynamic programming)
- Graph cuts
- Maximum likelihood estimation
- Margin maximisation

Speaker: Professor Christoph Lampert, IST Austria.

Faculty of Computer Science: https://cs.hse.ru/en/
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