A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization
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[1] Shubao Liu,et al. A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application , 2006, IEEE Transactions on Neural Networks.
[2] Leon O. Chua,et al. Neural networks for nonlinear programming , 1988 .
[3] Michael W. Berry,et al. Document clustering using nonnegative matrix factorization , 2006, Inf. Process. Manag..
[4] Jun Wang,et al. A projection neural network and its application to constrained optimization problems , 2002 .
[5] Shengwei Zhang,et al. Lagrange programming neural networks , 1992 .
[6] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[7] Wei Xing Zheng,et al. Discrete-Time Neural Network for Fast Solving Large Linear $L_{1}$ Estimation Problems and its Application to Image Restoration , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[8] Xinyi Le,et al. A Neurodynamic Optimization Approach to Bilevel Quadratic Programming , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[9] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[10] Jun Wang,et al. Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks , 2012, IEEE Transactions on Industrial Informatics.
[11] Yunong Zhang,et al. A dual neural network for convex quadratic programming subject to linear equality and inequality constraints , 2002 .
[12] Chris H. Q. Ding,et al. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering , 2005, SDM.
[13] Xiaolin Hu,et al. Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function , 2007, ISNN.
[14] John J. Hopfield,et al. Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .
[15] Jun Wang,et al. A nonnegative matrix factorization algorithm based on a discrete-time projection neural network , 2018, Neural Networks.
[16] Jun Wang,et al. A Collective Neurodynamic Approach to Constrained Global Optimization , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[17] Dimitri P. Bertsekas,et al. Constrained Optimization and Lagrange Multiplier Methods , 1982 .
[18] Jun Wang,et al. A one-layer recurrent neural network for support vector machine learning , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[19] Jianchao Fan,et al. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[20] Chuandong Li,et al. A recurrent neural network for adaptive beamforming and array correction , 2016, Neural Networks.
[21] Xinyi Le,et al. A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[22] Chris H. Q. Ding,et al. Symmetric Nonnegative Matrix Factorization for Graph Clustering , 2012, SDM.
[23] Jun Wang,et al. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization , 2014, Neural Networks.
[24] Jun Wang,et al. A Collaborative Neurodynamic Approach to Multiobjective Optimization , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[25] Youshen Xia,et al. An Extended Projection Neural Network for Constrained Optimization , 2004, Neural Computation.
[26] Xiaolin Hu,et al. Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network , 2006, IEEE Transactions on Neural Networks.
[27] Philip S. Yu,et al. Relational clustering by symmetric convex coding , 2007, ICML '07.
[28] Philip S. Yu,et al. Co-clustering by block value decomposition , 2005, KDD '05.
[29] Qingshan Liu,et al. A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[30] Hanif D. Sherali,et al. Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms , 2013 .