An innovative appearance-based method that called Orthogonal Locality Sensitive. Discriminant Analysis is presented for face recognition in this paper.
An innovative appearance-based method that called Orthogonal Locality Sensitive. Discriminant Analysis is presented for face recognition in this paper.
In this paper, a novel appearance-based method that called Tensor Orthogonal Locality Sensitive Discriminat Analysis (Tensor OLSDA) is presented for 3D face ...
An innovative appearance-based method that called Orthogonal Locality Sensitive Discriminant Analysis is presented for face recognition in this paper.
Local Sensitive Discriminant Analysis (LSDA) algorithm aims at finding a projection by maximizing the margin between data points from different classes in ...
In this paper, a new face recognition method based on orthogonal discriminant locality preserving projections (ODLPP) is proposed. Based on LPP, ODLPP takes ...
Oct 22, 2024 · In this paper, a new face recognition method based on orthogonal discriminant locality preserving projections (ODLPP) is proposed. Based on LPP, ...
Yi Jin, Qiuqi Ruan: Orthogonal Locality Sensitive Discriminant Analysis for Face Recognition. J. Inf. Sci. Eng. 25(2): 419-433 (2009).
Jun 1, 2016 · OELDA is based on enhanced LDA (ELDA), which takes into account both the discriminative structure and geometrical structure of the face space, ...
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Specifically, the data points are mapped into a subspace in which the nearby points with the same label are close to each other while the nearby points with ...
Missing: Orthogonal | Show results with:Orthogonal