Bayesian Robust Tensor Factorization for Incomplete Multiway Data | 31 | 0.77 | 2016 |
Advances in Nonnegative Matrix and Tensor Factorization | 7 | 0.88 | 2008 |
Equivalence probability and sparsity of two sparse solutions in sparse representation. | 14 | 0.75 | 2008 |
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals | 21 | 1.01 | 2008 |
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. | 22 | 1.31 | 2006 |
Underdetermined blind source separation based on sparse representation | 127 | 5.80 | 2006 |
New algorithms for non-negative matrix factorization in applications to blind source separation | 39 | 2.94 | 2006 |
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition | 17 | 1.25 | 2004 |
Guest Editorial Special Issue on Information Theoretic Learning | 1 | 0.38 | 2004 |
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. | 47 | 2.32 | 2004 |
Self-adaptive blind source separation based on activation functions adaptation. | 30 | 1.86 | 2004 |
A robust approach to independent component analysis of signals with high-level noise measurements. | 26 | 2.45 | 2003 |
An iterative inversion approach to blind source separation | 28 | 2.13 | 2000 |
Local stability analysis of flexible independent component analysis algorithm | 3 | 0.60 | 2000 |
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise | 28 | 1.62 | 1999 |
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution | 5 | 0.57 | 1999 |
Robust techniques for independent component analysis (ICA) with noisy data | 29 | 4.91 | 1998 |
The InfoSleuth Project | 4 | 0.56 | 1997 |
Robust PCA neural networks for random noise reduction of the data. | 4 | 0.79 | 1997 |
On-Line Step-Size Selection for Training of Adaptive Systems | 8 | 1.05 | 1997 |
Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction | 9 | 0.95 | 1995 |
Simplified neural networks for solving linear least squares and total least squares problems in real time. | 11 | 1.23 | 1994 |
Switched-Capacitor Neural Networks For Differential Optimization | 7 | 4.58 | 1991 |