Learning Robust Discriminant Subspace Based on Joint L₂,ₚ- and L₂,ₛ-Norm Distance Metrics.

L, Fu; Z, Li; Q, Ye; H, Yin; Q, Liu; X, Chen; X, Fan; W, Yang; G, Yang

doi:10.1109/tnnls.2020.3027588

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Learning Robust Discriminant Subspace Based on Joint L₂,ₚ- and L₂,ₛ-Norm Distance Metrics.

Shared by NobleBlocks on Jan 5, 2022 • 12:00 AM UTC

Authors:

Fu L

Li Z

Ye Q

Abstract

Recently, there are many works on discriminant analysis, which promote the robustness of models against outliers by using L1- or L2,1-norm as the distance metric. However, both of their robustness and discriminant power are limited. In this article, we present a new robust discriminant subspace (RDS...

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