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 …

Two image representation approaches called non-negative matrix factorization (NMF) and
local non-negative matrix factorization (LNMF) have been applied to two facial databases for …

A novel approach to facial expression recognition (FER) based on the combination of Non-
negative Matrix Factorization (NMF) and Support Vector Machine (SVM) was proposed. One …

In this paper, we present a novel algorithm for learning facial expressions in a supervised
manner. This algorithm is derived from the local non-negative matrix factorization (LNMF) …

In this paper, a novel graph-preserving sparse nonnegative matrix factorization (GSNMF)
algorithm is proposed for facial expression recognition. The GSNMF algorithm is derived …

In this paper, a novel discriminant sparse non-negative matrix factorization (DSNMF)
algorithm is proposed. We derive DSNMF method from original NMF algorithm by …

Person-dependent appearance changes tend to increase difficulties in automatic facial
expression recognition. Although one can use neutral face images to reduce the personal …

Principal Component Analysis (PCA) is a widely used technology about dimensional
reduction. Non-negative Matrix Factorization (NMF), proposed by Lee and Sung, is a new …

Face and Facial Expression Recognition is a broad research area for its diversified
applicability in different applications from security, surveillance to medical diagnosis. The …

This paper presents an image representation approach which is based on matrix
factorization in the complex domain and called exemplar-embed complex matrix …