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Machine Learning for Computer Vision (IN2357)

Course 0000002794 in WS 2019/20

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers)
Lecturers Nikolaus Demmel
Responsible/Coordination: Daniel Cremers
Assistants:
Rudolph Triebel
Dates Fri, 16:00–18:00, Interims I 102
Wed, 16:00–18:00, PH HS2
Thu, 16:00–18:00, PH HS1

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Machine Learning methods are an essential component for the solution of important problems in computer vision, including object classification and pose estimation, object tracking, image segmentation, denoising of images, or camera calibration. Therefore, in this lecture the most relevant methods of Machine Learning are presented and derived mathematically. These mainly comprise: - kernel methods, specifically Gaussian processes - metric learning - clustering such as GMMs or spectral clustering - boosting and bagging - hidden Markov models - neural networks and deep learning * - sampling methods, specifically MCMC The focus here is laid on a broad understanding of these methods rather than in a deep specification of single approaches. Practical experience is acquired by means of programming tasks. *The topic “deep learning” will be handled only marginally. For a broader treatment of this topic, we refer to other classes, e.g. IN2346.
Links TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2022 Machine Learning for Computer Vision (IN2357) Triebel, R. Fri, 12:00–14:00, Interims I 102
Thu, 16:00–18:00, Interims I 102
SS 2021 Machine Learning for Computer Vision (IN2357) Demmel, N. Yenamandra, T.
Responsible/Coordination: Cremers, D.
Assistants: Triebel, R. 		Wed, 16:00–18:00, virtuell
Fri, 14:00–16:00, virtuell
and singular or moved dates
WS 2020/1 Machine Learning for Computer Vision (IN2357) Köstler, L. Triebel, R.
Responsible/Coordination: Cremers, D. 		Fri, 16:00–18:00, virtuell
Wed, 16:00–18:00, virtuell
Thu, 16:00–18:00, virtuell
SS 2020 Machine Learning for Computer Vision (IN2357) Sommer, C.
Responsible/Coordination: Cremers, D.
Assistants: Triebel, R. 		Thu, 16:00–18:00, virtuell
Fri, 12:00–14:00, virtuell
SS 2019 Machine Learning for Computer Vision (IN2357) Häfner, B.
Responsible/Coordination: Cremers, D.
Assistants: Triebel, R.
WS 2018/9 Machine Learning for Computer Vision (IN2357)
Responsible/Coordination: Cremers, D.
Assistants: Triebel, R.
SS 2018 Machine Learning for Computer Vision (IN2357) Schubert, D.
Responsible/Coordination: Cremers, D.
Assistants: Triebel, R.
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