Linear and Deep Order-Preserving Wasserstein Discriminant Analysis.
Su B, Zhou J, Wen JR, Wu Y.
Su B, et al.
IEEE Trans Pattern Anal Mach Intell. 2022 Jun;44(6):3123-3138. doi: 10.1109/TPAMI.2021.3050750. Epub 2022 May 5.
IEEE Trans Pattern Anal Mach Intell. 2022.
PMID: 33434122
In this paper, we propose a linear method, called order-preserving Wasserstein discriminant analysis (OWDA), and its deep extension, namely DeepOWDA, to learn linear and non-linear discriminative subspace for sequence data, respectively. ...Experiments on four 3D action re …
In this paper, we propose a linear method, called order-preserving Wasserstein discriminant analysis (OWDA), and its deep extension, …