Signal reconstruction in sensor arrays using sparse representations
Signal Processing - Sparse approximations in signal and image processing
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems
Computational Optimization and Applications
Trust region Newton methods for large-scale logistic regression
Proceedings of the 24th international conference on Machine learning
Iterative computation of negative curvature directions in large scale optimization
Computational Optimization and Applications
A limited memory BFGS-type method for large-scale unconstrained optimization
Computers & Mathematics with Applications
Trust Region Newton Method for Logistic Regression
The Journal of Machine Learning Research
Truncated regularized Newton method for convex minimizations
Computational Optimization and Applications
Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra
IEEE Transactions on Signal Processing
Approximating Hessians in unconstrained optimization arising from discretized problems
Computational Optimization and Applications
On separation of semitransparent dynamic images from static background
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Fitting very large sparse Gaussian graphical models
Computational Statistics & Data Analysis
Limited memory BFGS method with backtracking for symmetric nonlinear equations
Mathematical and Computer Modelling: An International Journal
Local path-following property of inexact interior methods in nonlinear programming
Computational Optimization and Applications
Solving differential equations by means of feed-forward artificial neural networks
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Preconditioning Newton---Krylov methods in nonconvex large scale optimization
Computational Optimization and Applications
| Hi-index | 0.00 |