In order to remedy these limitations, the facial expression image was considered as a high-order tensor, and an Orthogonal Non-negative CP Factorization algorithm (ONNCP) was proposed. With the orthogonal constrain, the low-dimensional presentations of samples were non-negative in ONNCP. The ...
ofapositivedefinite kernel on the set of non-negative integers in order to produce examples of families of operators satisfying Cuntz-Toeplitz and Cuntz relations. The final section contains a discussion of orthogonal polynomials of several non- commuting hermitian variables. This time, some of...
The Low-rank Multi-modal Fusion (LMF) [17] performed the tensor factorization with the same low-rank for multi-modal fusion. In Table 2, the MAE, Corr, Acc-2, Acc-7, and F1 are presented. The accuracy of the proposed method is marked improvements in CMU-MOSI and POM. It is also ...