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Malaria outbreaks in endemic settings? [PDF]

Malar J
Steketee RW.
europepmc   +1 more source

Molecular Characterization of the Murine Catsper4 Promoter and its Regulation by CREMτ. [PDF]

Reprod Sci
López-Guzmán SF, Sánchez-Jasso DE, Hernández-Sánchez J, Oviedo N, Bermudez-Cruz RM.   +4 more
europepmc   +1 more source

Annexin A2 negatively regulates IFN-β production through targeting the RLR signaling pathway. [PDF]

J Virol
Liu H, Xue M, Feng C, Yu J, Ye G, Zhang K, Huang L, Weng C.   +7 more
europepmc   +1 more source

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Spatially Guided Independent Vector Analysis

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
We present a Maximum A Posteriori (MAP) derivation of the Independent Vector Analysis (IVA) algorithm for blind source separation incorporating an additional spatial prior over the demixing matrices. In this way, the outer permutation ambiguity of IVA is avoided and the algorithm can be guided towards a desired solution in adverse acoustic conditions ...
Andreas Brendel, Thomas Haubner, Walter Kellermann   +2 more
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Decentralized independent vector analysis

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Independent vector analysis (IVA) is an approach for joint blind source separation of several data sets that learns simultaneous unmixing transforms for each set. It assumes corresponding sources from different data sets to be statistically dependent. One of the main advantages is IVA's ability to retain subject-specific differences while simplifying ...
Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis   +4 more
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Multidataset independent subspace analysis extends independent vector analysis

2014 IEEE International Conference on Image Processing (ICIP), 2014
Despite its multivariate nature, independent component analysis (ICA) is generally limited to univariate latents in the sense that each latent component is a scalar process. Independent subspace analysis (ISA), or multidimensional ICA (MICA), is a generalization of ICA which identifies latent independent vector components instead.
Rogers F Silva, Sergey M Plis, Tulay Adali, Vince D Calhoun   +3 more
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