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 ...
, the set of nonnegative integers, and F n = X n 1 , n ∈ N 0 . The moment kernel of a q-positive functional on P 1 is K φ (n, m) = φ((X n 1 ) + X m 1 ), n, m ∈ N 0 , and we 4 notice that there is no restriction on K φ other than being positive de...
where 𝑁𝑛𝑧Nnz is a function that expresses the number of non-zero matrix elements. The dimensionality reduction ratio is generated by calculating the ratio of the non-zero elements in the core tensor and the updated matrix to non-zero elements in the original tensor. This dimension reduc...