Non-negative Matrix Factorization: A Survey
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Jiangzhang Gan | Li Li | Tong Liu | Jilian Zhang | Jilian Zhang | Jiangzhang Gan | Li Li | Tong Liu
[1] Cyril Ruckebusch,et al. Application of a sparseness constraint in multivariate curve resolution - Alternating least squares. , 2018, Analytica chimica acta.
[2] Honghui Fan,et al. Deep semi-nonnegative matrix factorization with elastic preserving for data representation , 2020, Multimedia Tools and Applications.
[3] Haesun Park,et al. An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization , 2020, SIAM J. Matrix Anal. Appl..
[4] Mengchu Zhou,et al. Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis , 2021, IEEE Transactions on Neural Networks and Learning Systems.
[5] Daoqiang Zhang,et al. Non-negative Matrix Factorization on Kernels , 2006, PRICAI.
[6] Nicolas Gillis,et al. Two algorithms for orthogonal nonnegative matrix factorization with application to clustering , 2012, Neurocomputing.
[7] Rahil Garnavi,et al. Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images , 2017, MICCAI.
[8] Chih-Jen Lin,et al. On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization , 2007, IEEE Transactions on Neural Networks.
[9] D. Shen,et al. Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan , 2020, Medical Image Analysis.
[10] Qingfu Zhang,et al. Self-Supervised Symmetric Nonnegative Matrix Factorization , 2021, IEEE Transactions on Circuits and Systems for Video Technology.
[11] Zhenhua Guo,et al. Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks , 2020, IEEE Transactions on Image Processing.
[12] Haesun Park,et al. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons , 2011, SIAM J. Sci. Comput..
[13] Karthik Devarajan,et al. Non-negative matrix factorization based on generalized dual divergence , 2019, ArXiv.
[14] Blake Hunter,et al. A Deep Non-Negative Matrix Factorization Neural Network , 2017 .
[15] Xiaojie Su,et al. Robust Manhattan non-negative matrix factorization for image recovery and representation , 2020, Inf. Sci..
[16] Badong Chen,et al. Robust orthogonal nonnegative matrix tri-factorization for data representation , 2020, Knowl. Based Syst..
[17] Heng Tao Shen,et al. Heterogeneous data fusion for predicting mild cognitive impairment conversion , 2021, Inf. Fusion.
[18] Xiaofeng Zhu,et al. Efficient Utilization of Missing Data in Cost-Sensitive Learning , 2019, IEEE Transactions on Knowledge and Data Engineering.
[19] Chris H. Q. Ding,et al. Orthogonal nonnegative matrix t-factorizations for clustering , 2006, KDD '06.
[20] Seokjin Lee,et al. Multichannel non-negative matrix factorisation based on alternating least squares for audio source separation system , 2015 .
[21] Shichao Zhang,et al. Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[22] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Jianfeng Lu,et al. Community detection algorithm based on nonnegative matrix factorization and pairwise constraints , 2020 .
[24] Xiaofeng Zhu,et al. Unsupervised feature selection by self-paced learning regularization , 2020, Pattern Recognit. Lett..
[25] Yue Gao,et al. Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification , 2018, IEEE Transactions on Image Processing.
[26] Aimin Zhou,et al. Non-negative Matrix Factorization: A Short Survey on Methods and Applications , 2012, ISICA.
[27] Yuzuru Tanaka,et al. A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization , 2014, ACML.
[28] Bob Zhang,et al. Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering , 2019, IEEE Access.
[29] Chris H. Q. Ding,et al. Nonnegative Matrix Factorizations for Clustering: A Survey , 2018, Data Clustering: Algorithms and Applications.
[30] Marc Teboulle,et al. Novel Proximal Gradient Methods for Nonnegative Matrix Factorization with Sparsity Constraints , 2020, SIAM J. Imaging Sci..
[31] Chuhsing Kate Hsiao,et al. Network hub-node prioritization of gene regulation with intra-network association , 2020, BMC Bioinformatics.
[32] Xuelong Li,et al. Subspace clustering guided convex nonnegative matrix factorization , 2018, Neurocomputing.
[33] Inderjit S. Dhillon,et al. Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem , 2007, SDM.
[34] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[35] Laurent Pueyo,et al. Non-negative Matrix Factorization: Robust Extraction of Extended Structures , 2017, ArXiv.
[36] Qiong Zhang,et al. Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization , 2019, IEEE Access.
[37] S. Nemec,et al. A principal components analysis: how pneumatization and edentulism contribute to maxillary atrophy. , 2017, Oral diseases.
[38] Yun Liang,et al. Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing , 2020, International Journal of Computer Vision.
[39] Bo Yu,et al. A new kernel method for nonnegative matrix factorization , 2019, 2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
[40] Les E. Atlas,et al. Deep recurrent NMF for speech separation by unfolding iterative thresholding , 2017, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[41] Jesús Bobadilla,et al. Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization , 2018, IEEE Access.
[42] Xuelong Li,et al. Discriminative and Orthogonal Subspace Constraints-Based Nonnegative Matrix Factorization , 2018, ACM Trans. Intell. Syst. Technol..
[43] Xuelong Li,et al. Graph PCA Hashing for Similarity Search , 2017, IEEE Transactions on Multimedia.
[44] Zhigang Luo,et al. NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization , 2012, IEEE Transactions on Signal Processing.
[45] Sam Kwong,et al. Semisupervised Adaptive Symmetric Non-Negative Matrix Factorization , 2020, IEEE Transactions on Cybernetics.
[46] Xinhe Xu,et al. Facial expression recognition based on PCA and NMF , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[47] Zhenni Li,et al. Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering , 2020, IEEE Transactions on Cybernetics.
[48] S. Mifrah,et al. Topic Modeling Coherence: A Comparative Study between LDA and NMF Models using COVID’19 Corpus , 2020 .
[49] Farid Melgani,et al. NMF with feature relationship preservation penalty term for clustering problems , 2021, Pattern Recognit..
[50] Jonathan Le Roux,et al. Deep NMF for speech separation , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[51] Philip S. Yu,et al. A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning , 2021, IEEE Transactions on Knowledge and Data Engineering.
[52] Jian Pei,et al. High-Order Proximity Preserved Embedding for Dynamic Networks , 2018, IEEE Transactions on Knowledge and Data Engineering.
[53] Xuelong Li,et al. Refined-Graph Regularization-Based Nonnegative Matrix Factorization , 2017, ACM Trans. Intell. Syst. Technol..
[54] Haizhou Li,et al. Non-negative matrix factorization using stable alternating direction method of multipliers for source separation , 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[55] Dun Liu,et al. A matrix factorization based dynamic granularity recommendation with three-way decisions , 2020, Knowl. Based Syst..
[56] Domonkos Tikk,et al. Alternating least squares for personalized ranking , 2012, RecSys.
[57] Yannig Goude,et al. Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction , 2017, IEEE Transactions on Knowledge and Data Engineering.
[58] Lin Yang,et al. Pairwise based deep ranking hashing for histopathology image classification and retrieval , 2018, Pattern Recognit..
[59] Naixue Xiong,et al. Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System , 2019, IEEE Transactions on Industrial Informatics.
[60] Hassan Ghassemian,et al. Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF , 2014, IEEE Geoscience and Remote Sensing Letters.
[61] Nam Soo Kim,et al. NMF-Based Speech Enhancement Using Bases Update , 2015, IEEE Signal Processing Letters.
[62] Paul C. Boutros,et al. Optimization and expansion of non-negative matrix factorization , 2020, BMC Bioinformatics.
[63] Wen Zhang,et al. A class of modified FR conjugate gradient method and applications to non-negative matrix factorization , 2017, Comput. Math. Appl..
[64] Wei Liu,et al. Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[65] J. Eggert,et al. Sparse coding and NMF , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[66] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[67] Nicolas Gillis,et al. Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation , 2018, Neural Computation.
[68] Zhaoshui He,et al. Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering , 2011, IEEE Transactions on Neural Networks.
[69] Zhenhua Guo,et al. A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing , 2021, IEEE Transactions on Image Processing.
[70] Dinggang Shen,et al. Learning longitudinal classification-regression model for infant hippocampus segmentation , 2020, Neurocomputing.
[71] Simon J. L. Billinge,et al. A fast two-stage algorithm for non-negative matrix factorization in streaming data , 2021, ArXiv.
[72] Chris H. Q. Ding,et al. Robust nonnegative matrix factorization using L21-norm , 2011, CIKM '11.
[73] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[74] Wei Zheng,et al. Spectral rotation for deep one-step clustering , 2020, Pattern Recognit..
[75] Wenju Liu,et al. Deep Learning Based Speech Separation via NMF-Style Reconstructions , 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[76] Erkki Oja,et al. Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction , 2005, SCIA.
[77] Huifang Ma,et al. Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering , 2010, PAKDD.
[78] Nicolas Gillis,et al. Nonnegative Factorization and The Maximum Edge Biclique Problem , 2008, 0810.4225.
[79] George Trigeorgis,et al. A Deep Semi-NMF Model for Learning Hidden Representations , 2014, ICML.
[80] Shuyuan Yang,et al. Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering , 2018, Neurocomputing.
[81] Xuelong Li,et al. Block-Row Sparse Multiview Multilabel Learning for Image Classification , 2016, IEEE Transactions on Cybernetics.
[82] Chih-Jen Lin,et al. Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.
[83] Masataka Goto,et al. Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction , 2013, ISMIR.
[84] Ying Zhang,et al. Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model , 2019, BioMed research international.
[85] Shichao Zhang,et al. Spectral clustering via half-quadratic optimization , 2019, World Wide Web.
[86] Junyu Dong,et al. Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks , 2017, Remote. Sens..
[87] M. Ortiz,et al. A material‐independent method for extending stress update algorithms from small-strain plasticity to finite plasticity with multiplicative kinematics , 1992 .
[88] Hyunsoo Kim,et al. Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method , 2008, SIAM J. Matrix Anal. Appl..
[89] Xiaofeng Zhu,et al. One-Step Multi-View Spectral Clustering , 2019, IEEE Transactions on Knowledge and Data Engineering.
[90] Jia Wang,et al. A Regularized Convex Nonnegative Matrix Factorization Model for signed network analysis , 2021, Social Network Analysis and Mining.
[91] Andrzej Cichocki,et al. Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization , 2007, ISNN.
[92] Shenglan Liu,et al. Deep graph convolution neural network with non-negative matrix factorization for community discovery , 2021, ArXiv.
[93] Moses Charikar,et al. Approximation Algorithms for Orthogonal Non-negative Matrix Factorization , 2021, AISTATS.
[94] Guorong Wu,et al. Brain functional connectivity analysis based on multi-graph fusion , 2021, Medical Image Anal..
[95] Zhenhua Guo,et al. Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[96] Pascal Fernsel,et al. Supervised non-negative matrix factorization methods for MALDI imaging applications , 2018, Bioinform..
[97] Jane You,et al. Hyperspectral image unsupervised classification by robust manifold matrix factorization , 2019, Inf. Sci..