... | ... | @@ -11,6 +11,15 @@ Most recent (almost) published results from FZJ related to ML&DL |
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* "Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric", accepted IJCNN 2019. This work by Laura Muzzarelli, Susanne Weis, Simon B. Eickhoff and Kaustubh R. Patil from INM-7 looks at the unsolved problem of how to estimate the rank of NNMF decomposition for a given dataset. In this work various existing and a novel method were compared on simulated and real world data.
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# Groups at FZJ, dealing with ML and DL
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Here we provide a plain list of links to groups related to ML and DL. For more information, please visit the according group webpages. In order to find groups probably related to your research, simply search for keywords you're interested in.
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## Big Data Analytics Group at INM-1
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* [Link](http://www.fz-juelich.de/inm/inm-1/DE/Forschung/Big_Data_Analytics/Big_Data_Analytics_node.html)
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* Keywords: image data, classification, semantic segmentation, CNN, SVM, Capsule Networks, siamese networks, histology, HPC
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# Work in progress
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Ongoing work at FZJ related to ML&DL
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