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 …

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 …

Facial Expression recognition based on Non-negative Matrix Factorization (NMF) requires
the object images should be vectorized. The vectorization leads to information loss, since …

Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of
real applications. NMF is done by several researchers to its part based representation …

This paper presents a new method of the face recognition using the nonnegative matrix
factorization (NMF) and division of face into several regions. The proposed method divides …

The paper proposes a novel discriminant non-negative matrix factorization algorithm and
applies it to facial expression recognition. Unlike traditional non-negative matrix factorization …

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 …

Non-negative matrix factorization (NMF) is a recently developed method for finding parts-
based representation of non-negative data such as face images. Although it has …

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 …