Linear discriminant analysis
Linear discriminant analysis (LDA) is a versatile statistical method for reducing redundant
and noisy information from an original sample to its essential features. Particularly, LDA is a …
and noisy information from an original sample to its essential features. Particularly, LDA is a …
Face Recognition Based on Fuzzy Connective Fusion of SVD and RWLDA Algorithms
A Maafiri, OA Oualhaj, K Chougdali, A Bir-Jmel… - … Conference on Digital …, 2024 - Springer
Multimodal data fusion is a powerful methodology for improving the accuracy of biometric
authentication systems that use modalities such as face, voice, and fingerprints. Essentially …
authentication systems that use modalities such as face, voice, and fingerprints. Essentially …
[PDF][PDF] Face Recognition Based on Fuzzy Connective Fusion of SVD and RWLDA Algorithms
Multimodal data fusion is a powerful methodology for improving the accuracy of biometric
authentication systems that use modalities such as face, voice, and fingerprints. Essentially …
authentication systems that use modalities such as face, voice, and fingerprints. Essentially …