… canonical correlations of withinclass image sets and minimizes the canonical correlations of
between-class image sets… Our assumption is that these filters can reveal more discriminative …

… discriminative canonical correlation analysis (MMDCCA) is presented for solving face recognition
problem with using different image sets. … for solving multi-class nonlinear classification …

… within-class correlation and minimize the between-class correlation, … canonical correlation
analysis (CCA), multiple canonical correlation analysis (MCCA) and discriminative canonical …

… a novel method using discriminative feature learning and canonical correlation analysis (CCA) …
A discriminative learning with multilayer feature hierarchy is designed to further improve …

… to learn the nonlinear transformation of two data sets such that the withinY class correlation is
… In this paper, we propose Deep Discriminative CCA (DDCCA) which simultaneously learns …

… view face recognition and obtains good inter-class discriminant power after … correlation
between transformed features. It can effectively explore the discriminant and canonical correlated …

… discriminative extension of Deep Canonical Correlation Analysis (DCCA) for the purpose of
multi-view representation learning… mentioned above we also use the class labels at train time …

… the correlation relation of different modalities. In this paper, we introduce a shared feature
learning method for emotion recognition using En-… the correlation relation of intra-class and …

… loss term of the source domain: We expect to reduce the intra-class variation of the source
domain. It is important note that we can also leverage the different penalty coefficients \( {{n_{s…

… Cipolla, “Discriminative learning and recognition of image set classes using canonical
correlations,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. …