hybrid completely positive tensorial pca method for face recognition

Tensors are powerful tools for compressing data in any format. tensorail methodssuch as tensor completion have many applications in various fields of image processing,artificial intelligence and data science. nowadays, tensorial methods have numerousapplications in data science. on the other hand, principal component analysis (pca) as astatistical dimensionality reduction method has different applications for image processing. inthis paper, we discuss hybrid methods between tensors and pca for face recognition. based onour experiments, this method has high efficiency and computational cost.