This study explores the PICARD framework for Independent Component Analysis (ICA), focusing on robust implementation methods. We utilize the "Cocktail party" and handwritten digits datasets to discuss features of the framework's application and performance.
Greselin, F., Zaccaria, G. (2026). Considerations for robust ICA: a discussion of the PICARD framework. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 1-7 [10.1007/s11634-026-00702-8].
Considerations for robust ICA: a discussion of the PICARD framework
Greselin, F.;Zaccaria, G.
2026
Abstract
This study explores the PICARD framework for Independent Component Analysis (ICA), focusing on robust implementation methods. We utilize the "Cocktail party" and handwritten digits datasets to discuss features of the framework's application and performance.
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