Name
Title | ||
|---|---|---|
A Multiway Semi-Supervised Online Sequential Extreme Learning Machine For Facial Expression Recognition With Kinect Rgb-D Images |
Abstract | ||
|---|---|---|
This paper aims to develop a facial expression recognition algorithm for a personal digital assistance application. Based on the Kinect RGB-D images, we propose a multiway extreme learning machine (MW-ELM) for facial expression recognition, which reduces the computing complexity significantly by processing the RGB and Depth channels separately at the input layer. Referring to our earlier work on semi-supervised online sequential extreme learning machine (SOS-ELM) that enhances the application to do the fast and incremental learning based on a few labeled samples together with some un-labeled samples of the specific user, we propose to do the parameter training with semi-supervising and on-line sequential methods for the higher hidden layer. The experiment of our proposed multiway semi-supervised online sequential extreme learning machine (MW-SOS-ELM) applying in the facial expression recognition, shows that our proposed approach achieves almost the same recognition accuracy with SOS-ELM, but reduces recognition time significantly, under the same configuration of hidden nodes. Additionally, the experiments show that our semi-supervised learning scheme reduces the requirement of labeled data sharply. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-63312-1_22 | INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II |
Keywords | Field | DocType |
Extreme learning machine, Semi-supervising, On-line sequential learning, Multi-way structure, Facial expression recognition | Computer science,Extreme learning machine,Online sequential,RGB color model,Artificial intelligence,Labeled data,Computer vision,Pattern recognition,Facial expression recognition,Incremental learning,Communication channel,Sequential method,Machine learning | Conference |
Volume | ISSN | Citations |
10362 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xibin Jia | 1 | 0 | 1.69 |
| Xinyuan Chen | 2 | 11 | 2.52 |
| Jun Miao | 3 | 11 | 3.31 |