The face is an important part of the human body, distinguishing individuals in large groups of
people. Thus, because of its universality and uniqueness, it has become the most widely …

This article provides an overview of the mainstream deep learning approaches and research
directions proposed over the past decade. It is important to emphasize that each approach …

Gene expression profiles could be generated in large quantities by utilizing microarray
techniques. Currently, the task of diagnosing diseases relies on gene expression data. One …

Microseismic monitoring system is one of the effective methods for deep mining geo-stress
monitoring. The principle of microseismic monitoring system is to analyze the mechanical …

The face recognition/detection is considered as one of the most popular applications in the
field of image processing and biometric pattern recognition systems. Although the face …

In recent years, with the raise of the neural network and deep learning, significant progress
has been achieved in the field of image recognition. Convolutional Neural Network (CNN) …

Extreme learning machine (ELM) proposed by Huang et al. is a learning algorithm for single-
hidden layer feedforward neural networks (SLFNs). ELM has the advantage of fast learning …

High spatial and temporal resolution remote sensing data play an important role in
monitoring the rapid change of the earth surface. However, there is an irreconcilable …

Image processing techniques are frequently used to scale, resize, compare, and transform
graphical contents. The detection of face mask pattern from an image set could be frequently …

Face recognition is a kind of biometrics which based on the facial feature information of
human. And face recognition has wide application value in computer information security …