Jun 3, 2003 · The algorithmic techniques for the implementation of the Linear Discriminant Analysis (LDA) play an important role when the LDA is applied ...
The LDA implementation in the context of face recognition and verification is investigated in this paper. Three main algorithmic techniques: matrix ...
Yongping Li, Josef Kittler, Jiri Matas : Effective Implementation of Linear Discriminant Analysis for Face Recognition and Verification. CAIP 1999: 234-242.
Oct 22, 2024 · Linear Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low ...
Linear Discriminant Regression Classification (LDRC) is an effective method developed in the recent years on aim of providing enhancement to the accuracy of ...
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... face recognition problems. In this work, a simple but effective, linear discriminant analysis algorithm, called JD-LDA was first introduced. The algorithm ...
Oct 22, 2024 · This paper report work in implementation of computer vision application in face recognition to the on-line validation for distance learning.
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A novel classification method for face recognition which adopts the functionalities of linear discriminant and regression and is extensively evaluated
An alternative approach is to move away from PCA toward an algorithm that is optimal for classification (as opposed to reconstruction). Linear Discriminant.
To compensate for these limitations, linear discriminant analysis (LDA) is used to enhance the separation between different classes. In this paper, we elaborate ...
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