An efficient analytic solution for joint blind source separation
B Gabrielson, MABS Akhonda… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Joint blind source separation (JBSS) is a powerful methodology for analyzing multiple
related datasets, able to jointly extract sources that describe statistical dependencies across …
related datasets, able to jointly extract sources that describe statistical dependencies across …
Orthogonal extended infomax algorithm
N Ille - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. The extended infomax algorithm for independent component analysis (ICA) can
separate sub-and super-Gaussian signals but converges slowly as it uses stochastic …
separate sub-and super-Gaussian signals but converges slowly as it uses stochastic …
Large-Scale Independent Vector Analysis (IVA-G) via Coresets
B Gabrielson, H Yang, T Vu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Joint blind source separation (JBSS) involves the factorization of multiple matrices, ie
“datasets”, into “sources” that are statistically dependent across datasets and independent …
“datasets”, into “sources” that are statistically dependent across datasets and independent …
Analysis and Prediction of Financial Stock Risk Value Based On Improved FAST-ICA Algorithm and GARCH Model
H Xu - Procedia Computer Science, 2024 - Elsevier
This study focuses on improving the FAST-ICA algorithm and GARCH model to more
accurately analyze and predict the value at risk of financial stocks. Accurately measuring …
accurately analyze and predict the value at risk of financial stocks. Accurately measuring …
Efficient Methods for Higher-Order Factorizations: Accuracy, Scalability, and Generalization
B Gabrielson - 2024 - search.proquest.com
Matrix and tensor factorizations are methods that decompose datasets into factors:
unobserved, estimated variables useful for summarizing a dataset's latent structure. The …
unobserved, estimated variables useful for summarizing a dataset's latent structure. The …
Common and Distinct Subspace Analysis in Data Fusion: Application to the Fusion of Brain Imaging Data
MABS Akhonda - 2022 - search.proquest.com
Data-driven methods, such as those based on independent component analysis (ICA), make
very few assumptions on the data and the relationships of the datasets, and hence have …
very few assumptions on the data and the relationships of the datasets, and hence have …