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Safont G, Salazar A, Vergara L, et al. Probabilistic Distance for Mixtures of Independent Component Analyzers. IEEE Trans Neural Netw Learn Syst. 2017;29(4):1161-1173doi: 10.1109/TNNLS.2017.2663843.
Safont, G., Salazar, A., Vergara, L., Gomez, E., & Villanueva, V. (2018). Probabilistic Distance for Mixtures of Independent Component Analyzers. IEEE transactions on neural networks and learning systems, 29(4), 1161-1173. https://doi.org/10.1109/TNNLS.2017.2663843
Safont, Gonzalo, et al. "Probabilistic Distance for Mixtures of Independent Component Analyzers." IEEE transactions on neural networks and learning systems vol. 29,4 (2018): 1161-1173. doi: https://doi.org/10.1109/TNNLS.2017.2663843
Safont G, Salazar A, Vergara L, Gomez E, Villanueva V. Probabilistic Distance for Mixtures of Independent Component Analyzers. IEEE Trans Neural Netw Learn Syst. 2018 Apr;29(4):1161-1173. doi: 10.1109/TNNLS.2017.2663843. Epub 2017 Feb 24. PMID: 28252412.
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