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Lecture Notes in Pattern Recognition: Episode 34 – Measures of Non-Gaussianity

Towards entry "Lecture Notes in Pattern Recognition: Episode 34 – Measures of Non-Gaussianity"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 30, 2021 Category: Lecture Notes in Pattern Recognition
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Lecture Notes in Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity

Towards entry "Lecture Notes in Pattern Recognition: Episode 33 – Independent Component Analysis and Gaussianity"

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

January 30, 2021 Category: Lecture Notes in Pattern Recognition
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Invited Talk – Prof. Dr. Julio Vera-González: Computational modelling of gene regulatory networks in cancer – Feb 3rd 2021, 14h CET

Towards entry "Invited Talk – Prof. Dr. Julio Vera-González: Computational modelling of gene regulatory networks in cancer – Feb 3rd 2021, 14h CET"

Prof. Dr. Julio Vera-Gonzalez will present on his latest results on computational modelling of gene regulatory networks. Title: Computational modelling of gene regulatory networks in cancer. Methods and applications to detect predictive signaturesDate: Feb 3rd 2021, 14h CETLocation: https://fau....

January 29, 2021 Category: News
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Watch now: Deep Learning: Segmentation and Object Detection – Part 5 (WS 20/21)

Towards entry "Watch now: Deep Learning: Segmentation and Object Detection – Part 5 (WS 20/21)"

In this video, we look at instance segmentation and introduce the concepts of Mask-RCNN. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

January 29, 2021 Category: Deep Learning WS 20/21
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Watch now: Deep Learning: Segmentation and Object Detection – Part 4 (WS 20/21)

Towards entry "Watch now: Deep Learning: Segmentation and Object Detection – Part 4 (WS 20/21)"

In this video, we look at some ideas on how to perform object detection really quickly. This leads to single shot detectors of which YOLO is one of the most popular ones. If you are in need of multi-scale object detection, Retina-Net is a popular choice. Watch on:FAU TVFAU TV (no memes)YouTube ...

January 28, 2021 Category: Deep Learning WS 20/21
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Watch now: Pattern Recognition: Episode 39 – The Viola-Jones Algorithm (WS 20/21)

Towards entry "Watch now: Pattern Recognition: Episode 39 – The Viola-Jones Algorithm (WS 20/21)"

In this video, we show how Adaboost is used in the Viola-Jones Algorithm for face detection. Watch on:FAU TVYouTube

January 27, 2021 Category: Pattern Recognition WS 20/21
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Watch now: Deep Learning: Segmentation and Object Detection – Part 3 (WS 20/21)

Towards entry "Watch now: Deep Learning: Segmentation and Object Detection – Part 3 (WS 20/21)"

In this video, we start looking into object detection. We start with classical ideas, re-visit the concept of a fully convolutional neural network, and start developing a fast regional CNN detector which finally leads to Faster RCNN. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript...

January 27, 2021 Category: Deep Learning WS 20/21
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Watch now: Pattern Recognition: Episode 38 – Adaboost & Exponential Loss (WS 20/21)

Towards entry "Watch now: Pattern Recognition: Episode 38 – Adaboost & Exponential Loss (WS 20/21)"

In this video, we show that Adaboost is actually optimizing the exponential loss. Watch on:FAU TVYouTube

January 26, 2021 Category: Pattern Recognition WS 20/21
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Watch now: Deep Learning: Segmentation and Object Detection – Part 2 (WS 20/21)

Towards entry "Watch now: Deep Learning: Segmentation and Object Detection – Part 2 (WS 20/21)"

In this video, we discuss ideas on how to improve on image segmentation. In particular skip connections as used in the U-Net have been applied very successfully here. Also, we, look into other advanced methods such as stacked hourglasses, convolutional pose machines, and conditional random fields i...

January 26, 2021 Category: Deep Learning WS 20/21
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Watch now: Pattern Recognition: Episode 37 – Adaboost – Concept (WS 20/21)

Towards entry "Watch now: Pattern Recognition: Episode 37 – Adaboost – Concept (WS 20/21)"

In this video, we introduce the Adaboost Algorithm that fuses many weak classifiers to a strong one. Watch on:FAU TVYouTube

January 25, 2021 Category: Pattern Recognition WS 20/21
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  • Invited Talk – Prof. Liangrui Peng (Tsinghua University): Exploring Representation, Attention, and Memory Mechanisms for Text Recognition, Friday, December 19th, 2025, 9 AM CET
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