Petri nets have gained increasing usage and acceptance as a basic model of asynchronous
concurrent systems since 1962. As a class of structural objects of Petri nets, siphons play a …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

This paper addresses the problem of face recognition when there is only few, or even only a
single, labeled examples of the face that we wish to recognize. Moreover, these examples …

A lot of works have shown that frobenius-norm-based representation (FNR) is competitive to
sparse representation and nuclear-norm-based representation (NNR) in numerous tasks …

During the past several years, as one of the most successful applications of sparse coding
and dictionary learning, dictionary-based face recognition has received significant attention …

Face recognition is receiving a significant attention due to the need of facing important
challenges when developing real applications under unconstrained environments. The …

Real-world face recognition using a single sample per person (SSPP) is a challenging task.
The problem is exacerbated if the conditions under which the gallery image and the probe …

In this paper, we address two challenging problems in unsupervised subspace learning: 1)
how to automatically identify the feature dimension of the learned subspace (ie, automatic …

With the aid of a universal facial variation dictionary, sparse representation based classifier
(SRC) has been naturally extended for face recognition (FR) with single sample per person …

Single sample per person face recognition is one of the most challenging problems in face
recognition (FR), where only single sample per person (SSPP) is enrolled in the gallery set …