SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection
Published in
Conference on Machine Learning and Systems(2020)External Links:
TL
TL;DR
The proposed modular acceleration system, called SUOD, focuses on three complementary acceleration aspects ( data reduction for high-dimensional data, approximation for costly models, and taskload imbalance optimization for distributed environment), while maintaining performance accuracy.