In this paper, we propose L1-norm distance discriminant analysis with multiple adaptive graphs and sample reconstruction (L1-DDA) based on RDSL. Our method ...

In this paper, we present L1-norm distance discriminant analysis with multiple adaptive graphs and sample reconstruction (L1-DDA) to deal with the problem. We ...

In this paper, we propose L1-norm distance discriminant analysis with multiple adaptive graphs and sample reconstruction (L1-DDA) based on RDSL. Our method ...

Bibliographic details on L1-Norm Distance Discriminant Analysis with Multiple Adaptive Graphs and Sample Reconstruction.

Guowan Shao, Chunjiang Peng, Wenchu Ou, Kai Duan: L1-Norm Distance Discriminant Analysis with Multiple Adaptive Graphs and Sample Reconstruction.

paper, we propose cutting L1-norm distance discriminant analysis with sample reconstruction (C-L1-DDA) to solve the two problems. We apply cutting L1-norm.

L1-Norm Distance Discriminant Analysis with Multiple Adaptive Graphs and Sample Reconstruction. MMBD/MLIS 2021: 655-666; 2020. [c1]. view. electronic edition ...

Mar 11, 2020 · We propose an adaptive collaborative graph for discriminant analysis (ACGDA), which explicitly models the internal relationship among within-class pixels ...

Discriminant analysis (DA) is a well-known dimensionality reduction tool in pattern classification. With enough efficient labeled samples, ...

Nov 5, 2021 · In this paper, we propose a novel two-dimensional Bhattacharyya bound linear discriminant analysis (2DBLDA). 2DBLDA maximizes the matrix-based between-class ...