Multi-Manifold Locality Graph Embedding Based on the Maximum Margin Criterion (MLGE/MMC) for Face Recognition
Solving problems with small sample sizes during training for feature extraction and the dimensionality reduction method will not produce high face recognition accuracy using the locality graph embedding (LGE) algorithm. Thus, we introduced a new algorithm named “multi-manifold locality gr...
Main Authors: | Minghua Wan, Zhihui Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7932070/ |
Similar Items
-
Robust Manifold Embedding for Face Recognition
by: Zhonghua Liu, et al.
Published: (2020-01-01) -
The Maximum Stress Failure Criterion and the Maximum Strain Failure Criterion: Their Unification and Rationalization
by: Shuguang Li
Published: (2020-10-01) -
Lipschitz closed embedding of Hilbert-Lipschitz manifolds
by: I. COLOJOARA
Published: (1995-11-01) -
Application of MMC with Embedded Energy Storage for Overvoltage Suppression and Fault Ride-through Improvement in Series LCC-MMC Hybrid HVDC System
by: Xiaodong Li, et al.
Published: (2023-01-01) -
Deep Clustering Bearing Fault Diagnosis Method Based on Local Manifold Learning of an Autoencoded Embedding
by: Jing An, et al.
Published: (2021-01-01)