no code implementations • 10 Oct 2020 • Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
Estimating covariance matrix from massive high-dimensional and distributed data is significant for various real-world applications.
no code implementations • 10 Oct 2020 • Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data.
no code implementations • ICML 2017 • Xixian Chen, Michael R. Lyu, Irwin King
Estimating covariance matrices is a fundamental technique in various domains, most notably in machine learning and signal processing.