Results 41 to 50 of about 53,454 (335)

A Non-Negative Matrix Factorization Game

CoRR, 2021
We present a novel game-theoretic formulation of Non-Negative Matrix Factorization (NNMF), a popular data-analysis method with many scientific and engineering applications. The game-theoretic formulation is shown to have favorable scaling and parallelization properties, while retaining reconstruction and convergence performance comparable to the ...
openaire   +2 more sources

Link prediction based on non-negative matrix factorization. [PDF]

PLoS ONE, 2017
With the rapid expansion of internet, the complex networks has become high-dimensional, sparse and redundant. Besides, the problem of link prediction in such networks has also obatined increasingly attention from different types of domains like ...
Bolun Chen, Fenfen Li, Senbo Chen, Ronglin Hu, Ling Chen   +4 more
doaj   +1 more source

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Clare M. Lee, Vass J. Keith, D R Haggart, Lee Clare M., Mudaliar, MAV, Higham, Desmond, Vass, D.J., Manikhandan A V Mudaliar, Gino Miele, Mudaliar, Manikhandan A.V., Haggart, D. R., Mudaliar, M.A.V., Higham, Desmond J., Haggart D. R., Crowther, Daniel, D. R. Haggart, Lee, C.M., Lee, Clare M., Mudaliar Manikhandan A. V., J Keith Vass, Higham Desmond J., Wolf, C.R., Higham, D.J., Wolf C. Roland, Miele Gino, Mudaliar, Manikhandan A. V., Miele, Geno, Desmond J Higham, Clare M Lee, C. Roland Wolf, Miele, G., Manikhandan A. V. Mudaliar, C Roland Wolf, Crowther Daniel, Vass, J.K., Miele, Gino, J. Keith Vass, Crowther, D., Crowther, Daniel; id_orcid, Daniel Crowther, Vass, J. Keith, Desmond J. Higham, Haggart, D.R., Wolf, C. Roland, Lee, Clare   +44 more
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Non-negative matrix factorization test cases [PDF]

2016 IEEE MIT Undergraduate Research Technology Conference (URTC), 2016
4 pages, 3 figures, to appear in the proceedings of the 2015 IEEE MIT Undergraduate Research ...
Connor Sell, Jeremy Kepner
openaire   +2 more sources

Gene Expression Analysis through Parallel Non-Negative Matrix Factorization

Computation, 2021
Genetic expression analysis is a principal tool to explain the behavior of genes in an organism when exposed to different experimental conditions. In the state of art, many clustering algorithms have been proposed.
Angelica Alejandra Serrano-Rubio, Guillermo B. Morales-Luna, Amilcar Meneses-Viveros   +2 more
doaj   +1 more source

Musical instrument classification using non-negative matrix factorization algorithms [PDF]

, 2006
14.08.13 KB. Ok to add accepted version to Spiral. IEEEIn this paper, a class of algorithms for automatic classification of individual musical instrument sounds is presented.
Benetos, Emmanouil, C. Kotropoulos, Kotti, Margarita, E. Benetos, Kotropoulos, Constantine, M. Kotti   +5 more
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Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization [PDF]

, 2013
In contrast to most other sensory modalities, the basic perceptual dimensions of olfaction remain unclear. Here, we use non-negative matrix factorization (NMF) – a dimensionality reduction technique – to uncover structure in a panel of odor profiles ...
Castro, Jason B., Jason B. Castro, Castro, Jason B, Chennubhotla, Chakra S., Ramanathan, Arvind, Schaefer, Andreas, Chennubhotla Chakra S., Arvind Ramanathan (198127), Jason B. Castro (460485), Jason B Castro, Ramanathan Arvind, Arvind Ramanathan, Castro Jason B., Chakra S. Chennubhotla, Chennubhotla, Chakra S, Chakra S Chennubhotla, Chakra S. Chennubhotla (232086)   +16 more
core   +1 more source

Kernel Joint Non-Negative Matrix Factorization for Genomic Data

IEEE Access, 2021
The multi-modal or multi-view integration of data has generated a wide range of applicability in pattern extraction, clustering, and data interpretation.
Diego Salazar, Juan Rios, Sara Aceros, Oscar Florez-Vargas, Carlos Valencia   +4 more
doaj   +1 more source

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization

IEEE Access, 2018
Recommender Systems present a high-level of sparsity in their ratings matrices. The collaborative filtering sparse data makes it difficult to: 1) compare elements using memory-based solutions; 2) obtain precise models using model-based solutions; 3) get ...
Jesus Bobadilla, Rodolfo Bojorque, Antonio Hernando Esteban, Remigio Hurtado   +3 more
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Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

IEEE Transactions on Knowledge and Data Engineering, 2023
As a novel paradigm for data mining and dimensionality reduction, Non-negative Matrix Tri-Factorization (NMTF) has attracted much attention due to its notable performance and elegant mathematical derivation, and it has been applied to a plethora of real ...
Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li   +6 more
semanticscholar   +1 more source