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Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction
Audio or visual data analysis tasks usually have to deal with high-dimensional and nonnegative signals.
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection
Multivariate Analysis (MVA) comprises a family of well-known methods for feature extraction which exploit correlations among input variables representing the data.
Why (and How) Avoid Orthogonal Procrustes in Regularized Multivariate Analysis
Multivariate Analysis (MVA) comprises a family of well-known methods for feature extraction that exploit correlations among input variables of the data representation.
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