Pansharpening via coupled triple factorization dictionary learning. - Erik Skau; Brendt Wohlberg; Hamid Krim; Liyi Dai (ICASSP, 2016)

Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric. - Sally Ghanem; Erik Skau; Hamid Krim; Hamilton Scott Clouse; Wesam A. Sakla (ICIP, 2016)

Image classification: A hierarchical dictionary learning approach. - Shahin Mahdizadehaghdam; Liyi Dai; Hamid Krim; Erik Skau; Han Wang 011 (ICASSP, 2017)

Tomographic Reconstruction Via 3D Convolutional Dictionary Learning. - Erik Skau; Cristina Garcia-Cardona (IVMSP, 2018)

A Fast Parallel Algorithm for Convolutional Sparse Coding. - Erik Skau; Brendt Wohlberg (IVMSP, 2018)

Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media. - Han Wang 011; Erik Skau; Hamid Krim; Guido Cervone (IEEE Trans. Geosci. Remote. Sens., 2018)

Nonnegative Canonical Polyadic Decomposition with Rank Deficient Factors. - Boian S. Alexandrov; Derek DeSantis; Gianmarco Manzini; Erik Skau (CoRR, 2019)

Distributed Non-Negative Tensor Train Decomposition. - Manish Bhattarai; Gopinath Chennupati; Erik Skau; Raviteja Vangara; Hristo N. Djidjev; Boian S. Alexandrov (HPEC, 2020)

Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. - Raviteja Vangara; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Manish Bhattarai; Valentin G. Stanev; Boian S. Alexandrov (ICMLA, 2020)

An Out of Memory tSVD for Big-Data Factorization. - Hector Carrillo-Cabada; Erik Skau; Gopinath Chennupati; Boian S. Alexandrov; Hristo N. Djidjev (IEEE Access, 2020)

Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions. - Derek DeSantis; Erik Skau; Boian S. Alexandrov (CoRR, 2020)

Determination of latent dimensionality in international trade flow. - Duc Phan Minh Truong; Erik Skau; Vladimir I. Valtchinov; Boian S. Alexandrov (Mach. Learn. Sci. Technol., 2020)

Distributed non-negative matrix factorization with determination of the number of latent features. - Gopinath Chennupati; Raviteja Vangara; Erik Skau; Hristo N. Djidjev; Boian S. Alexandrov (J. Supercomput., 2020)

Nonnegative Tensor-Train Low-Rank Approximations of the Smoluchowski Coagulation Equation. - Gianmarco Manzini; Erik Skau; Duc Phan Minh Truong; Raviteja Vangara (LSSC, 2021)

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. - Valentin G. Stanev; Erik Skau; Ichiro Takeuchi; Boian S. Alexandrov (LSSC, 2021)

Automatic Model Determination for Quaternion NMF. - Giancarlo Sanchez; Erik Skau; Boian S. Alexandrov (IEEE Access, 2021)

Boolean Matrix Factorization via Nonnegative Auxiliary Optimization. - Duc Phan Minh Truong; Erik Skau; Derek DeSantis; Boian S. Alexandrov (IEEE Access, 2021)

Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization. - Raviteja Vangara; Manish Bhattarai; Erik Skau; Gopinath Chennupati; Hristo N. Djidjev; Thomas Tierney; James P. Smith; Valentin G. Stanev; Boian S. Alexandrov (IEEE Access, 2021)

Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. - Manish Bhattarai; Namita Kharat; Erik Skau; Benjamin T. Nebgen; Hristo N. Djidjev; Sanjay V. Rajopadhye; James P. Smith; Boian S. Alexandrov (CoRR, 2022)

Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (CoRR, 2022)

Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection. - Erik Skau; Andrew Hollis; Stephan J. Eidenbenz; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2022)

Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC. - Boian S. Alexandrov; Derek F. DeSantis; Gianmarco Manzini; Erik W. Skau (Numer. Linear Algebra Appl., 2022)

Factorization of Binary Matrices: Rank Relations, Uniqueness and Model Selection of Boolean Decomposition. - Derek DeSantis; Erik Skau; Duc Phan Minh Truong; Boian S. Alexandrov (ACM Trans. Knowl. Discov. Data, 2022)

Open world Dempster-Shafer using complementary sets. - Erik Skau; Cassandra Armstrong; Duc P. Truong; David Gerts; Kari Sentz (ISIPTA, 2023)

General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Erik Skau; Elisabeth Moore; Manish Bhattarai; Gopinath Chennupati; Boian S. Alexandrov (DTRAP, 2023)

Distributed non-negative RESCAL with automatic model selection for exascale data. - Manish Bhattarai; Namita Kharat; Ismael Boureima; Erik Skau; Benjamin T. Nebgen; Hristo N. Djidjev; Sanjay V. Rajopadhye; James P. Smith; Boian S. Alexandrov (J. Parallel Distributed Comput., 2023)

Accelerated Dempster Shafer Using Tensor Train Representation. - Duc P. Truong; Erik Skau; Cassandra Armstrong; Kari Sentz (BELIEF, 2024)

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. - Minh N. Vu; Ben Nebgen; Erik Skau; Geigh Zollicoffer; Juan Castorena; Kim Ø. Rasmussen; Boian S. Alexandrov; Manish Bhattarai (CoRR, 2024)

Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. - Ismael Boureima; Manish Bhattarai; Maksim Ekin Eren; Erik Skau; Philip Romero; Stephan J. Eidenbenz; Boian S. Alexandrov (J. Supercomput., 2024)

Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization. - Erik Skau; Andrew Hollis; Stephan J. Eidenbenz; Kim Ø. Rasmussen; Boian S. Alexandrov (ACM Trans. Model. Comput. Simul., 2024)