Prof. Dr. - Ing. Morris Riedel

THE INFLUENCE OF SAMPLING METHODS ON PIXEL-WISE HYPERSPECTRAL IMAGE CLASSIFICATION WITH 3D CONVOLUTIONAL NEURAL NETWORKS-MORRIS RIEDEL 0

Publications

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks Lange, J., Cavallaro, G., Goetz, M., Erlingsson, E., Riedel, M.: The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), July 22-27, 2018, Valencia, Spain [ EVENT ] [ DOI ] [ JUSER ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] Abstract: Supervised image classification is one of the essential techniques for generating semantic maps from remotely sensed images. The lack of labeled ground truth datasets,...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Teaching

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

Introduction to Deep Learning Models Morris Riedel 0

Teaching

Introduction to Deep Learning Models

Introduction to Deep Learning Models Training Course organized by DEEP-EST Project Juelich Supercomputing Centre, Germany 2019-05-21 – 2019-05-23 [ EVENT ] [Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB) [Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB) [Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB) [Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB) [Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral...

Cloud-Computing-and-Big-Data-Fall-2018 0

Teaching

Cloud Computing and Big Data – Course Fall 2018

Cloud Computing and Big Data – Course Fall 2018 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2018 Lecture 0 – Prologue Slides PDF (9,59 MB) Starting teaching period with Lecture 0 – Prologue of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today mentioning also Modular Supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/52bmhnZNhs — Morris Riedel (@MorrisRiedel)...