Tensor canonical polyadic decomposition (CPD), which recovers the latent factor matrices
from multidimensional data, is an important tool in signal processing. In many applications …

Face recognition is still a challenging problem because of large intra-class variability, small
inter-class variability, and the presence of lighting variation. To deal with these difficulties, an …

Subtropical algebra is a semi-ring over the nonnegative real numbers with standard
multiplication and the addition defined as the maximum operator. Factorizing a matrix over …

One of the most remarkable ability of human vision system is to recognize face. Robustness
to variations in facial expressions is one of the greatest challenges in field of face …

Traditional non-negative matrix factorization (NMF) is an unsupervised method that
represents non-negative data by a part-based dictionary and non-negative codes. Recently …

Face recognition is an integral part in robot partner's interaction with its human subject. With
the task expected, open universe scenario face recognition needs to be performed under …

In this paper, we present a face video database and its acquisition. This database contains
31,500 video clips of 100 individual figures from 20 countries. The primary purpose of …

Discriminant subspace learning is a widely used feature extraction technique for image
recognition, since it can extract effective discriminant features by employing the class …

Vigorous face acknowledgment framework in uncontrolled environment is still a noteworthy
test. Face Recognition remains an unsolved issue when all is said in done because of …

Το ανθρώπινο μάτι, εκτός από λειτουργία της όρασης, αντικατοπτρίζει τη διάθεση, την φυσική
και ψυχοσυναισθηματική κατάσταση του ατόμου. Η δραστηριότητα και συμπεριφορά του …