Robust Image Feature Extraction via Approximate Orthogonal Low-Rank Embedding
Feature extraction (FE) plays an important role in machine learning. In order to handle the “dimensionality disaster”problem, the usual approach is to transform the original sample into a low-dimensional target space, in which the FE task is performed. However, the data in real...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9235497/ |