2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 1 cited
CNTS: Cooperative Network for Time Series
Jinsheng Yang, Yuanhai Shao, ChunNa Li
The use of deep learning techniques in detecting anomalies in time series data has been an active area of research with a long history of development and a variety of approaches. I…
cs.LG2020★ 1 cited
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li +2
Recently proposed L2-norm linear discriminant analysis criterion via the Bhattacharyya error bound estimation (L2BLDA) is an effective improvement of linear discriminant analysis (…
stat.ML2020★ 2 cited
Capped norm linear discriminant analysis and its applications
Jiakou Liu, Xiong Xiong, Pei-Wei Ren +3
Classical linear discriminant analysis (LDA) is based on squared Frobenious norm and hence is sensitive to outliers and noise. To improve the robustness of LDA, in this paper, we i…