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Dictionary learning algorithms have received widespread acceptance when it comes to data analysis and signal representation problems. However, most existing algorithms assume isotropic noise. This is a restrictive assumption as the noise across samples may be nonuniform in a number of real world application. The aim of this article is to propose a sequential dictionary learning algorithm for measurement...
Multisubject analysis helps to jointly analyze themedical data from multiple subjects, to make insightful inferences. Multi set canonical correlation analysis (MCCA), which extends the application of canonical correlation analysis to more than two datasets, is one such statistical technique to perform multisubject analysis. MCCA aims to compute optimal data transformations such that overall correlation...
Multiple-set canonical correlation analysis (mCCA) is a generalization of canonical correlation analysis (CCA) to three or more sets of variables. It aims to study the relationships between several sets of variables and it subsumes a number of interesting multivariate data analysis techniques as special cases. The quality and interpretability of the mCCA components are likely to be affected by the...
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