Results 131 to 140 of about 2,137 (155)

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, Feiping Nie 0001, Tom Weidong Cai, Heng Huang 0001   +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, Da Kuang, Barry L. Drake, Haesun Park   +3 more
openaire   +2 more sources

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, Xiang Fei, Hanchao Li, Yong Tang 0001, Hai Liu 0006, Shuangyin Liu   +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, Kesheng Wu, Kristofer E. Bouchard   +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, Zhiguo Zhang 0001, Fei Tang, Li Zhang 0041, Gan Huang   +4 more
openaire   +1 more source

Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF)

2018
Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is ...
P. Favati (1), G. Lotti (2), O. Menchi (3), F. Romani (3)   +3 more
openaire   +1 more source

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

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

Generalized Separable Nonnegative Matrix Factorization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Junjun Pan, Nicolas Gillis
exaly  

Robust Manifold Nonnegative Matrix Factorization

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

SVD based initialization: A head start for nonnegative matrix factorization

Pattern Recognition, 2008
Efstratios Gallopoulos
exaly