WebJul 1, 2016 · b0130 F. Zhong, J. Zhang, Linear discriminant analysis based on L1-norm maximization, IEEE Trans. Image Process., 22 (2013) 3018-3027. Google Scholar Cross Ref; b0135 X. Li, W. Hua, H. Wang, Z. Zhang, Linear discriminant analysis using rotational invariant L1 norm, Neurocomputing, 13-15 (2010) 2571-2579. Google Scholar Digital … WebJul 1, 2024 · [Show full abstract] propose a novel sparse L1-norm-based linear discriminant analysis (SLDA-L1) which not only replaces L2-norm in conventional LDA with L1-norm, but also use the elastic net to ...
Robust and Sparse Linear Discriminant Analysis via an Alternating ...
WebMay 25, 2024 · Fisher Discriminant Analysis with L1-Norm for Robust Palmprint Recognition Request PDF Request PDF Fisher Discriminant Analysis with L1-Norm … WebSep 1, 2024 · Two-dimensional linear discriminant analysis (2DLDA) is an effective matrix-based supervised dimensionality reduction method that expresses 2D data directly. However, 2DLDA magnifies the influence of outliers and noise since the construction of 2DLDA is based on squared Frobenius norm.To overcome its sensitivity, this paper … how do you refill a pain pump
--Norm Heteroscedastic Discriminant Analysis Under Mixture of …
WebSep 23, 2024 · Wang H, Lu X, Hu Z, Zheng W (2013) Fisher discriminant analysis with l1-norm. IEEE Trans Cybern 44(6):828–842. Google Scholar Li H, Zhang L, Huang B, Zhou X (2024) Cost-sensitive dual-bidirectional linear discriminant analysis. Inf Sci 510:283–303. MathSciNet Google Scholar WebJul 16, 2024 · Motivated by the impressive results of L1-norm PCA, L1-norm discriminant analysis has attracted much attention in machine learning [12-14], where LDA-L1 and kernel LDA-L1 are two of the most representative methods, which employ L1-norm as the distance metric to calculate between-class and within-class scatters in the linear and … WebSep 3, 2024 · Section snippets Related works. Suppose there are n training samples depicted as X = [x 1, x 2, …, x n] ∈ R m × n belonging to C classes, where x i ∈ R m is the ith sample. Let n c be the number of samples in the cth class, and ∑ c = 1 C n c = n.In what follows, we make a brief review of the representative CRP and LDA methods. … how do you refill a post it pop up dispenser