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Illustration of the statistical analysis on the calculation of parameter λ. By using the theorem, Rose algorithm and attenuation value (Liu et al., 2010), the calculated value of λ is varied from 0.12 to 0.28. And most values of λ are close to 0.15. To avoid the heterogeneity caused by different values of λ, 0.15 can be utilized as the tradeoff parameter in our study to perform dictionary learning and sparse representation.
