Name
Abstract | ||
|---|---|---|
Formerly, dimensionality reduction techniques are effective ways for extracting statistical significance of features from their original dimensions. However, the dimensionality reduction also induces an additional complexity burden which may encumber the real efficiency. In this paper, a technique is proposed for the reduction of the dimension of samples rather than the features in the former schemes, and it is able to additionally reduce the computational complexity of the applied systems during the reduction process. This method effectively reduces the redundancies of a sample, in particular for those objects which possess partially symmetric property, such as human face, pedestrian, and license plate. As demonstrated in the experiments, based upon the premises of faster speeds in training and detection by a factor of 4.06 and 1.24, respectively, similar accuracies to the ones without considering the proposed method are achieved. The performance verifies that the proposed technique can offer competitive practical values in pattern recognition related fields. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TIFS.2014.2355495 | IEEE Trans. Information Forensics and Security |
Keywords | Field | DocType |
face detection,data reduction,pedestrians,dimensionality reduction techniques,pattern recognition related fields,face recognition,computational complexity reduction,pedestrian detection,traffic engineering computing,partial symmetric property,symmetrical object detection,computational complexity,feature extraction,license plate,object detection,sample space dimensionality refinement,dimension reduction,feature statistical significance extraction,sample refinement,face,pattern recognition | Object detection,Computer vision,Dimensionality reduction,Pattern recognition,Computer science,Feature extraction,Curse of dimensionality,Artificial intelligence,Face detection,Pedestrian detection,Data reduction,Computational complexity theory | Journal |
Volume | Issue | ISSN |
9 | 11 | 1556-6013 |
Citations | PageRank | References |
3 | 0.40 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun-Fu Liu | 1 | 277 | 19.65 |
| Jing-Ming Guo | 2 | 830 | 77.60 |
| Chih-hsien Hsia | 3 | 222 | 24.24 |
| Sheng-Yao Su | 4 | 3 | 0.40 |
| Hua Lee | 5 | 109 | 11.38 |