309 citations · 1.6k across the 77 of their papers we have counts for
4 papers · 1 filter
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu, Cheng Zeng, Le Zhang +5
Time series anomaly detection strives to uncover potential abnormal behaviors and patterns from temporal data, and has fundamental significance in diverse application scenarios. Co…
Deep Negative Correlation Classification
Le Zhang, Qibin Hou, Yun Liu +4
Ensemble learning serves as a straightforward way to improve the performance of almost any machine learning algorithm. Existing deep ensemble methods usually naively train many dif…
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
Yingcong Lu, Yipeng Liu, Zhen Long +2
With powerful ability to exploit latent structure of self-representation information, different tensor decompositions have been employed into low rank multi-view clustering (LRMVC)…
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing
Zhiyuan Zha, Bihan Wen, Xin Yuan +3
The compressive sensing (CS) scheme exploits much fewer measurements than suggested by the Nyquist-Shannon sampling theorem to accurately reconstruct images, which has attracted co…