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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yi Hu Lei Lei Won-Jae Park Ko, S. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, Korea University, Anam-Dong, Sungbuk-Ku, Seoul, 136-713, Korea (Yi Hu; Lei Lei; Won-Jae Park; Ko, S.) |
| Abstract | In this paper, we propose a bilateral tangent projection (BTP) algorithm to smooth a set of noisy data assumed to lie on a low-dimensional manifold. The data points are smoothed by a family of local tangent projections adaptively. The BTP algorithm utilizes not only the location information of the data point but also the fitness of the tangent space estimation. The local tangent space with better fitness plays more important role in the smoothing procedure. The experimental results show that our algorithm is effective for noise reduction and preserves the structure of the underlying manifold. |
| Starting Page | 2210 |
| Ending Page | 2213 |
| File Size | 510593 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424493043 |
| e-ISBN | 9781424493067 |
| DOI | 10.1109/CISP.2011.6100601 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Manifolds denoising Smoothing methods Noise Noise reduction Estimation Signal processing algorithms manifold smoothing Principal component analysis manifold learning |
| Content Type | Text |
| Resource Type | Article |
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