Name
Title | ||
|---|---|---|
Mmas Algorithm For Features Selection Using 1d-Dwt For Video-Based Face Recognition In The Online Video Contextual Advertisement User-Oriented System |
Abstract | ||
|---|---|---|
Face recognition is an importance step which can affect the performance of the system. In this paper, the authors propose a novel Max-Min Ant System algorithm to optimal feature selection based on Discrete Wavelet Transform feature for Video-based face recognition. The length of the culled feature vector is adopted as heuristic information for ant's pheromone in their algorithm. They selected the optimal feature subset in terms of shortest feature length and the best performance of classifier used k-nearest neighbor classifier. The experiments were analyzed on face recognition show that the authors' algorithm can be easily implemented and without any priori information of features. The evaluated performance of their algorithm is better than previous approaches for feature selection. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.4018/JGIM.2017100107 | JOURNAL OF GLOBAL INFORMATION MANAGEMENT |
Keywords | Field | DocType |
Discrete Wavelet Transform, Feature Selection, k-Nearest Neighbor Classifier, Max-Min Ant System, VideoBased Face Recognition | Facial recognition system,Heuristic,Economics,Feature vector,Feature selection,Pattern recognition,Algorithm,User oriented,Discrete wavelet transform,Artificial intelligence,Online video,Classifier (linguistics) | Journal |
Volume | Issue | ISSN |
25 | 4 | 1062-7375 |
Citations | PageRank | References |
1 | 0.35 | 48 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bao Nguyen Le | 1 | 1 | 0.35 |
| Dac-Nhuong Le | 2 | 12 | 5.01 |
| Gia Nhu Nguyen | 3 | 7 | 1.44 |
| Le Van Chung | 4 | 1 | 0.35 |
| Nilanjan Dey | 5 | 521 | 78.41 |