ABSTRACT
The previous two chapters have discussed various multilinear extensions of principal component analysis (PCA) and linear discriminant analysis (LDA). This chapter deals with multilinear extensions of independent component analysis (ICA), canonical correlation analysis (CCA), and partial least squares (PLS) analysis, as shown in Figure 8.1 under the multilinear subspace learning (MSL) framework.
