5 papers
Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio
Jaroslav Čmejla, Zbyněk Koldovský, Václav Kautský +1
This paper deals with dynamic Blind Source Extraction (BSE) from where the mixing parameters characterizing the position of a source of interest (SOI) are allowed to vary over time…
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning
Fateme Ghayem, Hanlu Yang, Furkan Kantar +3
Independent component analysis (ICA) of multi-subject functional magnetic resonance imaging (fMRI) data has proven useful in providing a fully multivariate summary that can be used…
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19
Zois Boukouvalas, Christine Mallinson, Evan Crothers +5
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating…
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
Rogers F. Silva, Sergey M. Plis, Tulay Adali +2
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produ…
Tracing Network Evolution Using the PARAFAC2 Model
Marie Roald, Suchita Bhinge, Chunying Jia +3
Characterizing time-evolving networks is a challenging task, but it is crucial for understanding the dynamic behavior of complex systems such as the brain. For instance, how spatia…