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Low-rank matrix estimation plays a key role in many scientific and engineering tasks, including collaborative filtering and image denoising.
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Comparative Analysis of Traffic Matrix Estimation Methods.
Traffic Matrix Estimation Techniques: Existing Techniques Compared and New Directions.
His research interests include robust covariance matrix estimation and sparse correlation structure recovery for analyzing high dimensional data.
Traffic matrix estimation consists in inferring a traffic matrix from link-level measurements.
The proposed SCA-based approach has two main stages: modal matrix estimation and modal displacement estimation.
State (attitude) estimation plays an important role in a spacecraft system.
Small sample covariance matrix estimation.
Channel estimation plays an important part in OFDM systems.
The singular problem of small sample inverse covariance matrix estimation.
This can be attributed to the spectral matrix estimation step.
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