Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction
Locality preserving projection (LPP) is a classical tool for dimensionality reduction problems. However, it is sensitive to outliers because of utilizing the ℓ<sub>2</sub>-norm-based distance criterion. In this paper, we propose a new approach, termed Euler-LPP, by preserving...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7604144/ |