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Erik Skau
Erik Skau
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Title
Cited by
Cited by
Year
Fusing heterogeneous data: A case for remote sensing and social media
H Wang, E Skau, H Krim, G Cervone
IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6956-6968, 2018
512018
Finding the number of latent topics with semantic non-negative matrix factorization
R Vangara, M Bhattarai, E Skau, G Chennupati, H Djidjev, T Tierney, ...
IEEE Access 9, 117217-117231, 2021
262021
Distributed non-negative matrix factorization with determination of the number of latent features
G Chennupati, R Vangara, E Skau, H Djidjev, B Alexandrov
The Journal of Supercomputing 76, 7458-7488, 2020
222020
Image classification: A hierarchical dictionary learning approach
S Mahdizadehaghdam, L Dai, H Krim, E Skau, H Wang
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
162017
Semantic nonnegative matrix factorization with automatic model determination for topic modeling
R Vangara, E Skau, G Chennupati, H Djidjev, T Tierney, JP Smith, ...
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
152020
Distributed non-negative tensor train decomposition
M Bhattarai, G Chennupati, E Skau, R Vangara, H Djidjev, BS Alexandrov
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-10, 2020
152020
Factorizations of binary matrices–rank relations and the uniqueness of Boolean decompositions
D DeSantis, E Skau, B Alexandrov
arXiv preprint arXiv:2012.10496, 2020
11*2020
pydnmfk: Python distributed non negative matrix factorization
M Bhattarai, B Nebgen, E Skau, M Eren, G Chennupati, R Vangara, ...
GitHub. DOI: https://doi. org/10.5281/zenodo 4722448, 2021
92021
General-purpose unsupervised cyber anomaly detection via non-negative tensor factorization
ME Eren, JS Moore, E Skau, E Moore, M Bhattarai, G Chennupati, ...
Digital Threats: Research and Practice 4 (1), 1-28, 2023
62023
Determination of latent dimensionality in international trade flow
DP Truong, E Skau, VI Valtchinov, BS Alexandrov
Machine Learning: Science and Technology 1 (4), 045017, 2020
62020
Nonnegative canonical polyadic decomposition with rank deficient factors
B Alexandrov, D DeSantis, G Manzini, E Skau
arXiv preprint arXiv:1909.07570 3, 2019
52019
A fast parallel algorithm for convolutional sparse coding
E Skau, B Wohlberg
2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop …, 2018
52018
Distributed non-negative rescal with automatic model selection for exascale data
M Bhattarai, I Boureima, E Skau, B Nebgen, H Djidjev, S Rajopadhye, ...
Journal of Parallel and Distributed Computing 179, 104709, 2023
42023
Challenging the curse of dimensionality in multidimensional numerical integration by using a low-rank tensor-train format
B Alexandrov, G Manzini, EW Skau, PMD Truong, RG Vuchov
Mathematics 11 (3), 534, 2023
42023
Distributed out-of-memory nmf of dense and sparse data on cpu/gpu architectures with automatic model selection for exascale data
I Boureima, M Bhattarai, M Eren, E Skau, P Romero, S Eidenbenz, ...
arXiv preprint arXiv:2202.09518, 2022
42022
Nonnegative tensor-train low-rank approximations of the Smoluchowski coagulation equation
G Manzini, E Skau, DP Truong, R Vangara
International Conference on Large-Scale Scientific Computing, 342-350, 2021
42021
Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC
B Alexandrov, DF DeSantis, G Manzini, EW Skau
Numerical Linear Algebra with Applications 29 (6), e2443, 2022
32022
Boolean matrix factorization via nonnegative auxiliary optimization
DP Truong, E Skau, D Desantis, B Alexandrov
IEEE Access 9, 117169-117177, 2021
32021
Topic analysis of superconductivity literature by semantic non-negative matrix factorization
V Stanev, E Skau, I Takeuchi, BS Alexandrov
International Conference on Large-Scale Scientific Computing, 359-366, 2021
32021
An out of memory tsvd for big-data factorization
H Carrillo-Cabada, E Skau, G Chennupati, B Alexandrov, H Djidjev
IEEE Access 8, 107749-107759, 2020
32020
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Articles 1–20