Face Identification With Top-Push Constrained Generalized Low-Rank Approximation of Matrices
We present a novel top-push constrained feature learning (TFL) method for face identification. The idea is to learn low-rank approximations from raw intensity face images such that the squared distance between all faces of the same identity should be smaller than that of different identities by a ma...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8867920/ |