Face expression recognition technology is one of the most recently developed fields in
machine learning and has profoundly helped its users through forensic, security, and …

The advent of machine learning in the recent decade has excelled in determining new
potential features and non-linear relationships existing between the data derived from the …

Automatic facial expression recognition (FER) is a fundamental topic in computer vision.
Many studies have indicated that facial emotion changes are strongly related to certain …

Facial expression recognition has been widely used to solve the problems such as lie
detection and human-machine interaction. However, due to the difficulties to control the …

Betel palms and mango plantations are two crucial commercial crops in tropical agricultural
areas. Accurate spatial distributions of these two crops are essential in tropical agricultural …

Ensemble learning is an effective method to enhance the recognition accuracy of facial
expressions. The performance of ensemble learning can be affected by many factors, such …

The behavior of the current emotion classification model to recognize all test samples using
the same method contradicts the cognition of human beings in the real world, who …

AdaBoost is a highly effective ensemble learning method that combines several weak
learners to produce a strong committee with higher accuracy. However, similar to other …

Abstract Facial Expression Recognition (FER) is the basis for many applications including
human-computer interaction and surveillance. While develo** such applications, it is …

Applying ensemble learning to facial expression recognition is an important research field
nowadays, but all may not be better than many, the redundant learners in the classifier pool …