Face images appearing in multimedia applications, eg, social networks and digital
entertainment, usually exhibit dramatic pose, illumination, and expression variations …

Online social networks (OSNs) have experienced tremendous growth in recent years and
become a de facto portal for hundreds of millions of Internet users. These OSNs offer …

Face recognition need is fine assured as enormous industrial relevance use them to
implement one or another objective. As the programmes move closer to everyday usage to …

Deep learning technology has enabled successful modeling of complex facial features when
high-quality images are available. Nonetheless, accurate modeling and recognition of …

Electroencephalography signals have very low spatial resolution and electrodes capture
signals that are overlapping each other. To extract the discriminative features and alleviate …

Face Recognition is a challenging task for recognizing and detecting the identity of an
individual. Although, plethora of work has already been done in the field of pattern …

To address the sequential changes of images including poses, in this paper we propose a
recurrent regression neural network (RRNN) framework to unify two classic tasks of cross …

Photo sharing is an attractive feature which popularizes online social networks (OSNs).
Unfortunately, it may leak users' privacy if they are allowed to post, comment, and tag a …

This paper investigates a retrieval-based annotation paradigm of mining web facial images
for automated face annotation. In general, there are two key challenges for such an …

In this paper, we investigate a search-based face annotation framework by mining weakly
labeled facial images that are freely available on the internet. A key component of such a …