Unsupervised Multi-Level Non-Negative Matrix Factorization Model: Binary Data Case

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"Unsupervised Multi-Level Non-Negative Matrix Factorization Model: Binary Data Case"
written by Qingquan Sun, Peng Wu, Yeqing Wu, Mengcheng Guo, Jiang Lu,
published by Journal of Information Security, Vol.3 No.4, 2012

has been cited by the following article(s):

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[1]	Bayesian nonnegative matrix factorization in an incremental manner for data representation
	Applied Intelligence, 2022

[2]	Information extraction from binary skill assessment data with machine learning
	2021

[3]	Designing a Multiagent System for Elderly Care
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[4]	Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation
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[5]	Regularized maximum correntropy machine
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[6]	Multiple kernel multivariate performance learning using cutting plane algorithm
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[7]	Supervised cross-modal factor analysis for multiple modal data classification
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[8]	Maximum mutual information regularized classification
	Engineering Applications of Artificial Intelligence, 2015

[9]	Large Margin Image Set Representation and Classification
	arXiv preprint arXiv:1404.5588, 2014

[10]	Document clustering based on max-correntropy non-negative matrix factorization
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[11]	Domain transfer nonnegative matrix factorization
	2014 International Joint Conference on Neural Networks, 2014

[12]	Ambiguous Proximity Distribution
	arXiv preprint arXiv:1406.0231, 2014

[13]	Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization
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[14]	Application of Artificial Neural Networks in Predicting Abrasion Resistance of Solution Polymerized Styrene-Butadiene Rubber Based Composites
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[15]	Learning manifold to regularize nonnegative matrix factorization
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[16]	Semi-supervised local-learning-based feature selection
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[17]	Structure Preserving Large Imagery Reconstruction
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[18]	Automatic Objects Removal for Scene Completion
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[19]	Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient
	Advances in Neural Networks–ISNN 2014. Springer International Publishing, 2014

[20]	Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy
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[21]	Documents clustering based on max-correntropy nonnegative matrix factorization
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[22]	Nonnegative matrix factorization: When data is not nonnegative
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[23]	A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation
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[24]	Learning Multi-level Sparse Representations
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[25]	Reducing Redundancy for Binary Non-negative Bases with a Light-weight Multi-level Model

[1]	Regularized maximum correntropy machine Neurocomputing, 2015 DOI:10.1016/j.neucom.2014.09.080

[2]	Multiple Kernel Multivariate Performance Learning Using Cutting Plane Algorithm 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015 DOI:10.1109/SMC.2015.327

[3]	Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015 DOI:10.1109/SMC.2015.329

[4]	Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization Expert Systems with Applications, 2015 DOI:10.1016/j.eswa.2014.09.008

[5]	Maximum mutual information regularized classification Engineering Applications of Artificial Intelligence, 2015 DOI:10.1016/j.engappai.2014.08.009

[6]	Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy Journal of Computers, 2014 DOI:10.4304/jcp.9.11.2570-2579

[7]	Intelligent Computing Methodologies Lecture Notes in Computer Science, 2014 DOI:10.1007/978-3-319-09339-0_42

[8]	Advances in Neural Networks – ISNN 2014 Lecture Notes in Computer Science, 2014 DOI:10.1007/978-3-319-12436-0_51

[9]	Semi-supervised local-learning-based feature selection 2014 International Joint Conference on Neural Networks (IJCNN), 2014 DOI:10.1109/IJCNN.2014.6889591

[10]	Domain transfer nonnegative matrix factorization 2014 International Joint Conference on Neural Networks (IJCNN), 2014 DOI:10.1109/IJCNN.2014.6889428

[11]	Application of Artificial Neural Networks in predicting abrasion resistance of solution polymerized styrene-butadiene rubber based composites 2014 IEEE Workshop on Electronics, Computer and Applications, 2014 DOI:10.1109/IWECA.2014.6845687

[12]	Nonnegative matrix factorization: When data is not nonnegative 2014 7th International Conference on Biomedical Engineering and Informatics, 2014 DOI:10.1109/BMEI.2014.7002775

[13]	Large margin image set representation and classification 2014 International Joint Conference on Neural Networks (IJCNN), 2014 DOI:10.1109/IJCNN.2014.6889378

[14]	Automatic objects removal for scene completion 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014 DOI:10.1109/INFCOMW.2014.6849291

[15]	Documents clustering based on max-correntropy nonnegative matrix factorization 2014 International Conference on Machine Learning and Cybernetics, 2014 DOI:10.1109/ICMLC.2014.7009720

[16]	A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation Journal of Sensor and Actuator Networks, 2013 DOI:10.3390/jsan2030557

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