In this paper, a novel discriminant manifold nonnegative matrix factorization (DMNMF)
algorithm is proposed. To exploit the spatial neighborhood structure and prior defined class …

In this paper, we propose a new approach to facial expression recognition based on the
constrained non-negative matrix factorization algorithm. Our proposed method incorporated …

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 …

A new NMF model, spatial constrained graph sparse nonnegative matrix factorization
(SGSNMF) is adopted for facial expression recognition. In this model, the extracted features …

In this paper, a dimensionality reduction method applied on facial expression recognition is
investigated. An unsupervised learning framework, projective complex matrix factorization …

Nonnegative matrix factorization (NMF) is a promising method to represent facial images
using nonnegative features under a low-rank nonnegative basis-image matrix. The facial …

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 …

In this paper, a novel sparse neighborhood preserving non-negative tensor factorization
(SNPNTF) algorithm is proposed for facial expression recognition. It is derived from non …

In this paper, a novel Topology Preserving Nonnegative Matrix Factorization (TPNMF)
method is proposed for face recognition. The TPNMF is based on minimizing the constraint …

Kernel nonnegative matrix factorization (KNMF) algorithms have been widely used to extract
features for face recognition. The choice of kernel function is vital to facial feature extraction …