| 4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization | 0 | 0.34 | 2022 |
| Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction | 1 | 0.35 | 2022 |
| Fast Blind Image Super Resolution Using Matrix-Variable Optimization | 1 | 0.35 | 2021 |
| Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming. | 4 | 0.38 | 2020 |
| A 2D Observation Model-Based Algorithm for Blind Single Image Super-Resolution Reconstruction | 0 | 0.34 | 2019 |
| Effective Kalman filtering algorithm for distributed multichannel speech enhancement. | 0 | 0.34 | 2018 |
| Low-Light Image Enhancement Based on Joint Generative Adversarial Network and Image Quality Assessment. | 0 | 0.34 | 2018 |
| Solving Nonlinear Optimization Problems of Real Functions in Complex Variables by Complex-Valued Iterative Methods. | 3 | 0.38 | 2018 |
| A Crop-Based Multi-Branch Network for Matching Cost Computation. | 0 | 0.34 | 2018 |
| Two Dimensional Autoregressive Modeling-Based Interpolation Algorithms For Image Super-Resolution: A Comparison Study | 0 | 0.34 | 2017 |
| A complex-valued multichannel speech enhancement learning algorithm for optimal tradeoff between noise reduction and speech distortion. | 0 | 0.34 | 2017 |
| A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems. | 1 | 0.37 | 2017 |
| A Novel Deformable Image Registration Algorithm Based On Improved Active Demons | 0 | 0.34 | 2017 |
| Blind super-resolution image reconstruction based on novel blur type identification | 0 | 0.34 | 2017 |
| A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems. | 25 | 0.81 | 2016 |
| A discrete-time learning algorithm for image restoration using a novel L2-norm noise constrained estimation. | 5 | 0.41 | 2016 |
| Neural network for computing pseudoinverses and outer inverses of complex-valued matrices. | 2 | 0.42 | 2016 |
| Two Fast Complex-Valued Algorithms for Solving Complex Quadratic Programming Problems. | 5 | 0.45 | 2016 |
| Poissonian Hyperspectral Image Superresolution Using Alternating Direction Optimization. | 0 | 0.34 | 2016 |
| Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum | 2 | 0.36 | 2015 |
| A complex-valued neural dynamical optimization approach and its stability analysis. | 18 | 0.70 | 2015 |
| Novel parameter estimation of autoregressive signals in the presence of noise | 2 | 0.47 | 2015 |
| On Unbiased Identification Of Autoregressive Signals With Noisy Measurements | 0 | 0.34 | 2015 |
| A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables. | 21 | 0.66 | 2015 |
| A novel iterative method for computing generalized inverse. | 7 | 0.44 | 2014 |
| Performance analysis of statistical optimal data fusion algorithms. | 15 | 0.72 | 2014 |
| A fast discrete-time learning algorithm for speech enhancement using noise constrained parameter estimation | 1 | 0.35 | 2014 |
| Analysis and application of a novel fast algorithm for 2-D ARMA model parameter estimation. | 1 | 0.35 | 2013 |
| Discrete-Time Neural Network for Fast Solving Large Linear L Estimation Problems and its Application to Image Restoration. | 26 | 0.90 | 2012 |
| A Cooperative Learning Algorithm for Multiclass Classification | 0 | 0.34 | 2010 |
| A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method. | 9 | 0.56 | 2010 |
| An Analysis of a Neural Dynamical Approach to Solving Optimization Problems | 15 | 0.57 | 2009 |
| A compact cooperative recurrent neural network for computing general constrained L1norm estimators | 2 | 0.42 | 2009 |
| Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning | 0 | 0.34 | 2009 |
| A novel neural dynamical approach to convex quadratic program and its efficient applications. | 13 | 0.69 | 2009 |
| A generalized least absolute deviation method for parameter estimation of autoregressive signals. | 13 | 0.76 | 2008 |
| A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. | 78 | 2.23 | 2008 |
| Cooperative Learning Algorithms For Data Fusion Using Novel L-1 Estimation | 0 | 0.34 | 2008 |
| A cooperative recurrent neural network for solving l1 estimation problems with general linear constraints | 9 | 0.70 | 2008 |
| On exponential convergence conditions of an extended projection neural network. | 4 | 0.47 | 2008 |
| Novel cooperative neural fusion algorithms for image restoration and image fusion. | 20 | 0.83 | 2007 |
| A new neural network for solving nonlinear projection equations. | 27 | 1.33 | 2007 |
| Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network | 3 | 0.42 | 2007 |
| Development and Analysis of a Neural Dynamical Approach to Nonlinear Programming Problems | 12 | 0.84 | 2007 |
| A measurement fusion method for nonlinear system identification using a cooperative learning algorithm. | 0 | 0.34 | 2007 |
| Cooperative Recurrent Neural Networks for the Constrained L1 Estimator | 4 | 0.44 | 2007 |
| Nonlinear spatial-temporal prediction based on optimal fusion. | 12 | 0.73 | 2006 |
| A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals | 1 | 0.37 | 2006 |
| A neural network for robust LCMP beamforming | 11 | 0.59 | 2006 |
| A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines. | 8 | 0.65 | 2006 |
