Results 11 to 20 of about 2,535,217 (348)

Symmetric Nonnegative Matrix Trifactorization

Linear Algebra and its Applications, 2022
The Symmetric Nonnegative Matrix Trifactorization (SN-Trifactorization) is a factorization of an $n \times n$ nonnegative symmetric matrix $A$ of the form $BCB^T$, where $C$ is a $k \times k$ symmetric matrix, and both $B$ and $C$ are required to be ...
Bukovšek, Damjana Kokol, Šmigoc, Helena, Helena Šmigoc, Damjana Kokol Bukovšek, Kokol-Bukovšek, Damjana   +4 more
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Sparse Deep Nonnegative Matrix Factorization [PDF]

Big Data Mining and Analytics, 2020
Nonnegative Matrix Factorization (NMF) is a powerful technique to perform dimension reduction and pattern recognition through single-layer data representation learning. However, deep learning networks, with their carefully designed hierarchical structure,
Zhenxing Guo, Shihua Zhang
doaj   +3 more sources

Nonnegative Unimodal Matrix Factorization

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
We introduce a new Nonnegative Matrix Factorization (NMF) model called Nonnegative Unimodal Matrix Factorization (NuMF), which adds on top of NMF the unimodal condition on the columns of the basis matrix. NuMF finds applications for example in analytical
Andersen Man Shun Ang, Vandaele, Arnaud, Arnaud Vandaele, Hans De Sterck, Ang, Andersen Man Shun, Sterck, Hans De, Nicolas Gillis, Gillis, Nicolas   +7 more
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On restricted nonnegative matrix factorization

CoRR, 2016
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n × m matrix M into a product of a nonnegative n × d matrix W and a nonnegative d × m matrix H. Restricted NMF requires in addition that the column spaces of M and W
Kiefer, Stefan, Chistikov, D, Shirmohammadi, M, Worrell, J, Marusic, Ines, Worrell, James, Kiefer, SM, Kiefer, S., Shirmohammadi, M., Marusic, I, Shirmohammadi, Mashsa, Marusic, I., Shirmohammadi, Mahsa, Worrell, J., Chistikov, D., Kiefer, S, Chistikov, Dmitry   +16 more
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Nonnegative matrix factorization requires irrationality [PDF]

SIAM Journal on Applied Algebra and Geometry, 2017
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n × m matrix M into a product of a nonnegative n × d matrix W and a nonnegative d × m matrix H. A longstanding open question, posed by Cohen and Rothblum in 1993, is
Kiefer, Stefan, Chistikov, D, James Worrell, Shirmohammadi, M, Worrell, J, Worrell, James, Marusic, I, Ines Marušić, Shirmohammadi, Mahsa, Dmitry Chistikov, Marušić, Ines, Mahsa Shirmohammadi, Kiefer, S, Stefan Kiefer, Chistikov, Dmitry   +14 more
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A differentially private nonnegative matrix factorization for recommender system

Information Sciences, 2022
Nonnegative matrix factorization (NMF)-based models have been proven to be highly effective and scalable in addressing collaborative filtering (CF) problems in the recommender system (RS).
Xun Ran, Yong Wang, Leo Yu Zhang, Jun Ma
semanticscholar   +2 more sources

On a Guided Nonnegative Matrix Factorization [PDF]

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Fully unsupervised topic models have found fantastic success in document clustering and classification. However, these models often suffer from the tendency to learn less-than-meaningful or even redundant topics when the data is biased towards a set of features.
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell   +3 more
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Nonnegativity Problems for Matrix Semigroups

CoRR, 2023
The matrix semigroup membership problem asks, given square matrices $M,M_1,\ldots,M_k$ of the same dimension, whether $M$ lies in the semigroup generated by $M_1,\ldots,M_k$. It is classical that this problem is undecidable in general but decidable in case $M_1,\ldots,M_k$ commute. In this paper we consider the problem of whether, given $M_1,\ldots,M_k$
D'Costa, Julian, Ouaknine, Joël, Worrell, James   +2 more
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Randomized nonnegative matrix factorization [PDF]

Pattern Recognition Letters, 2018
This is an extended and revised version of the paper which appeared in ...
N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn, J. Nathan Kutz   +3 more
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Cauchy nonnegative matrix factorization [PDF]

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015
Nonnegative matrix factorization (NMF) is an effective and popular low-rank model for nonnegative data. It enjoys a rich background, both from an optimization and probabilistic signal processing viewpoint. In this study, we propose a new cost-function for NMF fitting, which is introduced as arising naturally when adopting a Cauchy process model for ...
Liutkus, Antoine, Fitzgerald, Derry, Badeau, Roland   +2 more
openaire   +2 more sources