NMF is one of the new developed methods which is made to make the part-based
representation of non-negative data, for example the image of human face. NMF can reduce …

Although lots of research has been done in recognizing facial expressions, there is still a
need to increase the accuracy of facial expression recognition, particularly under …

Kernel Extreme Learning Machine (KELM) provides deterministic solution to pattern
recognition problems in non-iterative manner. On contrary to ELM, the feature mapping is …

Facial expression recognition (FER) is one of the most important computer vision tasks for
understanding human inner emotions. However, the poor generation ability of the FER …

A feature extraction method for Facial Expression Recognition Systems is proposed based
on Spectral Supervised Canonical Correlation Analysis. For proper classification of …

In this paper, we present a novel algorithm for representing facial expressions. The
algorithm is based on the non-negative matrix factorization (NMF) algorithm, which …

The recognition rate of person-independent facial expression is generally not high, which
limits the practical application of facial expression recognition. Aiming at this problem, this …

In this paper, a new manifold learning algorithm called Orthogonal Discriminant
Neighborhood Preserving Embedding (ODNPE) is proposed for facial expression …

In this paper, a novel method of facial expression recognition based on adaptive weighted
higher-order local autocorrelation coefficient (WHLAC) is presented. Firstly, The method gets …