Pattern Recognition WS 20/21

Browse all posts in the Pattern Recognition WS 20/21 category.

7 to 12 of 39

18JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity (WS 20/21)
In this video, we discuss the importance of non-gaussianity for the extraction of independent components. Watch on:FAU TVYouTube
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14JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 32 – Independent Component Analysis – Introduction (WS 20/21)
In this video, we introduce the concept of the independent component analysis. Watch on:FAU TVYouTube
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13JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: 31 – EM Algorithm Example (WS 20/21)
In this video, we show how to apply the EM Algorithm to Magnetic Resonance Imaging for simultaneous bias field correction and image segmentation. Watch on:FAU TVYouTube
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12JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 30 – Expectation Maximization Algorithm (WS 20/21)
In this video, we analyze the expectation-maximization algorithm and relate it to Kullback-Leibler statistics in the context of the missing information principle. Watch on:FAU TVYouTube
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11JAN 2021
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 29 – Expectation Maximization – Introduction (WS 20/21)
In this video, we have a look at the expectation maximization algorithm using Gaussian Mixture Models. Watch on:FAU TVYouTube
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17DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 28 – Laplacian Support Vector Machines (WS 20/21)
In this video, we introduce the Laplacian SVM. Watch on:FAU TVYouTube
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