Results 121 to 130 of about 2,137 (155)
Resolving ionic spectra of lead-halide perovskites to the nanometer.
NanoscaleĆavar LD +6 more
europepmc +1 more source
Biology-Informed Matrix Factorization: An AI-Driven Framework for Enhanced Drug Repositioning. [PDF]
Biology (Basel)Wang Y, Wang Y, Hu Y, Wang J.
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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
exaly +3 more sources
Biometrics, 2011
In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations.
Philippe Verger, Stephan Clemençon
exaly +6 more sources
In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations.
Philippe Verger, Stephan Clemençon
exaly +6 more sources
Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation
Lecture Notes in Computer Science, 2008We proposed a novel algorithm of supervised feature selection and adaptation for enhancing the classification accuracy of unsupervised Nonnegative Matrix Factorization (NMF) feature extraction algorithm. At first the algorithm extracts feature vectors for a given high dimensional data then reduce the feature dimension using mutual information based ...
Soo-Young Lee, Lee Soo-Young
exaly +3 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +1 more source
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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