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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, 2016
Cloud 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, 2009
There 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
openaire   +1 more source

Robust Capped Norm Nonnegative Matrix Factorization

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
As 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
openaire   +1 more source

DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling

Journal of Global Optimization, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rundong Du   +3 more
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Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure

The Journal of Supercomputing, 2018
Nonnegative matrix factorization (NMF) has become a powerful model for community discovery in complex networks. Existing NMF-based methods for community discovery often factorize the corresponding adjacent matrix of complex networks to obtain its community indicator matrix.
Chaobo He   +5 more
openaire   +1 more source

UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017
With the ever growing collection of large volumes of scientific data, development of interpretable machine learning tools to analyze such data is becoming more important. However, robust, interpretable machine learning tools are lacking, threatening extraction of scientific insight and discovery.
Shashanka Ubaru   +2 more
openaire   +1 more source

Sliding Window Nonnegative Matrix Factorization (SW-NMF) for Robustness Low-Density Myoelectric Signals Decoding Against Electrodes Shift

2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
In this paper, the problem of electrodes shift is studied in low-density surface electromyographic (sEMG) based prosthetic control with the proposed Sliding Window Nonnegative Matrix Factorization (SW-NMF) algorithm. By artificially switching the electrode positions clockwise for π/8, the 8 channel sEMG signals of 10 gestures were recorded before and ...
Zhien Xian   +4 more
openaire   +2 more sources

SAR Images Clustering Based on Modified Nonlinear Orthogonal Nonnegative Matrix Factorization (NMF)

2023 31st International Conference on Electrical Engineering (ICEE), 2023
Mahdi Jowkar Dehouei   +2 more
openaire   +1 more source

Robust Manifold Nonnegative Matrix Factorization

ACM Transactions on Knowledge Discovery From Data, 2014
Feiping Nie, Heng Huang, Chris Ding
exaly  

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