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Resolving ionic spectra of lead-halide perovskites to the nanometer.
Ćavar LD +6 more
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Search Results Clustering Using Nonnegative Matrix Factorization (NMF)
2009 International Conference on Advances in Social Network Analysis and Mining, 2009There are many search engines in the web and when asked, they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Nonnegative Matrix Factorization (NMF)
Václav Snasel
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Secure and Verifiable Outsourcing of Large-Scale Nonnegative Matrix Factorization (NMF)
IEEE Transactions on Services Computing, 2021Nowadays, cloud computing platforms are becoming increasingly prevalent and readily available, providing alternative and economic services for resource-constrained clients to perform large-scale computations. This work addresses the problem of secure outsourcing of large-scale nonnegative matrix factorization (NMF) to a cloud in a way that the client ...
Jia Duan, Jiantao Zhou 0001, Yuanman Li
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Environmental Pollution, 2021
Quantifying the sources of atmospheric particles is essential to air quality control but remains challenging, especially for the source apportionment of particles based on number concentration with wide size range. Here, particle number concentrations (PNC) with size range 19-20,000 nm involving four modes Nucleation, Aitken, Accumulation, and Coarse ...
Chun-Sheng Liang +4 more
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Quantifying the sources of atmospheric particles is essential to air quality control but remains challenging, especially for the source apportionment of particles based on number concentration with wide size range. Here, particle number concentrations (PNC) with size range 19-20,000 nm involving four modes Nucleation, Aitken, Accumulation, and Coarse ...
Chun-Sheng Liang +4 more
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Secure and Verifiable Outsourcing of Nonnegative Matrix Factorization (NMF)
Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016Cloud computing platforms are becoming increasingly prevalent and readily available nowadays, providing us alternative and economic services for resource-constrained clients to perform large-scale computation. In this work, we address the problem of secure outsourcing of large-scale nonnegative matrix factorization (NMF) to a cloud in a way that the ...
Jia Duan, Jiantao Zhou 0001, Yuanman Li
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Clustering data using a Nonnegative Matrix Factorization (NMF)
2009 Second International Conference on the Applications of Digital Information and Web Technologies, 2009There are many search engines in the web and when asked, they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Nonnegative Matrix Factorization (NMF)
Hussam Dahwa Abdulla +2 more
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Robust Capped Norm Nonnegative Matrix Factorization
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015As an important matrix factorization model, Nonnegative Matrix Factorization (NMF) has been widely used in information retrieval and data mining research. Standard Nonnegative Matrix Factorization is known to use the Frobenius norm to calculate the residual, making it sensitive to noises and outliers.
Hongchang Gao +3 more
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Journal of Global Optimization, 2017
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Rundong Du +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rundong Du +3 more
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