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Effective Data-aware Covariance Estimator from Compressed Data
Estimating covariance matrix from massive high-dimensional and distributed data is significant for various real-world applications.
Making Online Sketching Hashing Even Faster
Data-dependent hashing methods have demonstrated good performance in various machine learning applications to learn a low-dimensional representation from the original data.
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data
Estimating covariance matrices is a fundamental technique in various domains, most notably in machine learning and signal processing.
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