Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …

Ship detection from remote sensing imagery is very important, with a wide array of
applications in areas such as fishery management, vessel traffic services, and naval warfare …

Recognition in uncontrolled situations is one of the most important bottlenecks for practical
face recognition systems. We address this by combining the strengths of robust illumination …

Understanding a person's feelings is a very important process for the affective computing.
People express their emotions in various ways. Among them, facial expression is the most …

Ship detection in high-resolution optical imagery is a challenging task due to the variable
appearances of ships and background. This paper aims at further investigating this problem …

Several pattern recognition and classification techniques have been applied to the
biometrics domain. Among them, an interesting technique is the Scale Invariant Feature …

Malware sandboxes, widely used by antivirus companies, mobile application marketplaces,
threat detection appliances, and security researchers, face the challenge of environment …

Machine learning approaches have produced some of the highest reported performances
for facial expression recognition. However, to date, nearly all automatic facial expression …

We introduce a weakly supervised approach for learning human actions modeled as
interactions between humans and objects. Our approach is human-centric: We first localize …