Huichaoyi Zhang

DE-SVDD: dual-encoder SVDD for multivariate time-series anomaly detection

D is proposed, a dual-encoder framework that separates reconstruction-oriented representation learning from one-class boundary modeling by imposing the SVDD constraint in a dedicated boundary space rather than directly on the reconstruction representation, which reduces the gradient conflict and scale imbalance between...