【摘 要】
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Based on the multivariate mean-shift regression model,we propose a new sparse reduced-rank regression approach to achieve low-rank sparse estimation and outlier detection simultaneously.A sparse mean-shift matrix is introduced in the model to indicate out
【机 构】
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SchoolofDataScience
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Based on the multivariate mean-shift regression model,we propose a new sparse reduced-rank regression approach to achieve low-rank sparse estimation and outlier detection simultaneously.A sparse mean-shift matrix is introduced in the model to indicate out
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