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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weizhi Wang Lei Pan Binghan Liu |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Mathematics and Computer Science University of Fuzhou Fuzhou, Fujian Province, China (Binghan Liu) || College of Civil Engineering University of Fuzhou Fuzhou, Fujian Province, China (Weizhi Wang; Lei Pan) |
| Abstract | To solve the problem on large storage of images in the synergetic recognition, an improved synergetic recognition method based on manifold learning has been proposed in this paper, in which the advantage and feasibility of combining the two methods has been discussed. The geometrical structure in high dimensions can be well maintained by using manifold learning to reduce dimensions while it is somehow innovative to combine synergetic recognition method and the manifold learning method. The traffic state recognition has been realized by adopting Isomap algorithm in this paper, and the results proves that the method has better recognition effects. |
| Starting Page | 587 |
| Ending Page | 591 |
| File Size | 1256672 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447947 |
| DOI | 10.1109/ICAL.2009.5262856 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation recognition Image recognition Educational institutions Pattern recognition Manifold learning Learning systems Manifolds Synergetic method Storage automation Feature extraction Iterative algorithms Image storage Traffic state Pixel |
| Content Type | Text |
| Resource Type | Article |
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