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Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.

, , and . ICASSP, page 2532-2536. IEEE, (2017)

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Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions., , , and . ICASSP, page 2520-2523. IEEE, (2011)A maximum likelihood approach for independent vector analysis of Gaussian data sets., , , and . MLSP, page 1-6. IEEE, (2011)Data-driven fusion of multi-camera video sequences: Application to abandoned object detection., , and . ICASSP, page 1697-1701. IEEE, (2017)A piecewise linear recurrent neural network structure and its dynamics., , and . ICASSP, page 1221-1224. IEEE, (1998)A Practical Formulation for Computation of Complex Gradients and its Application to Maximum Likelihood ICA., and . ICASSP (2), page 633-636. IEEE, (2007)Universal approximation of fully complex feed-forward neural networks., and . ICASSP, page 973-976. IEEE, (2002)Fusion of Multisubject Hemodynamic and Event-Related Potential Data Using Independent Component Analysis., and . ICASSP (5), page 1113-1116. IEEE, (2006)A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia., , , , , and . PRNI, page 1-4. IEEE, (2014)Stability Analysis of Complex-Valued Nonlinearities for Maximization of Nongaussianity., and . ICASSP (5), page 633-636. IEEE, (2006)A complex generalized Gaussian distribution: characterization, generation, and estimation., , and . IEEE Trans. Signal Process., 58 (3): 1427-1433 (2010)