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A Closed Form Solution to Multi-View Low-Rank Regression
Real life data often includes information from different channels.
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
The ℓ2, 1-norm based loss function is robust to outliers in data points and the ℓ2, 1-norm regularization selects features across all data points with joint sparsity.
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