To better deal with high dimensions and extract the essential feature of facial expression
images in facial expression recognition task, a novel approach integrating radial basis …

The original extreme learning machine (ELM), based on least square solutions, is an
efficient learning algorithm used in “generalized” single-hidden layer feedforward networks …

In this article, a robust kernel extreme learning machine (KELM) framework is designed
using mixture correntropy for recognition of facial images. KELM is augmentation of ELM …

Facial expression is commonly utilized by humans to deliver their mood and emotional state
to other people. Facial expression recognition (FER) becomes a hot research area in recent …

Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …

To avoid the overfitting problem of the network model and improve the facial expression
recognition effect of partially occluded facial images, an improved facial expression …

Practical face recognition systems are sometimes confronted with low-resolution (LR)
images. Most existing feature extraction algorithms aim to preserve relational structure …

Human face gender recognition requires fast image processing with high accuracy. Existing
face gender recognition methods used traditional local features and machine learning …

An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

In this paper a generalized tensor subspace model is concluded from the existing tensor
dimensionality reduction algorithms. With this model, we investigate the orthogonality of the …