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Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection


Oct 03, 2022
Erik Skau, Andrew Hollis, Stephan Eidenbenz, Kim Rasmussen, Boian Alexandrov

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* 17 pages, 8 figures 

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Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data


Feb 19, 2022
Ismael Boureima, Manish Bhattarai, Maksim Eren, Erik Skau, Philip Romero, Stephan Eidenbenz, Boian Alexandrov

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* Submitted to IEEE TKDE 

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Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization


Dec 01, 2021
Valentin Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov

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Boolean Matrix Factorization via Nonnegative Auxiliary Optimization


Jun 08, 2021
Duc P. Truong, Erik Skau, Derek Desantis, Boian Alexandrov

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Distributed Non-Negative Tensor Train Decomposition


Aug 04, 2020
Manish Bhattarai, Gopinath Chennupati, Erik Skau, Raviteja Vangara, Hirsto Djidjev, Boian Alexandrov

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* Accepted to IEEE-HPEC 2020 

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Determination of Latent Dimensionality in International Trade Flow


Feb 29, 2020
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov, Boian S. Alexandrov

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