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Nonnegative Matrix Factorization with Zellner Penalty

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Figure

Figure 1. (Left) 9 ORL faces at full 112 × 92 resolution; (Right) 9 ORL faces at reduced 28 × 23 resolution
Table 1. CNMF optimized regularization parameter settings and recognition performances using the α β relationships of (25) and (26)
Figure 3. (Left) Recognition performances of ZNMF with α = β in optimal condensed territory; (Right) Recognition perfor-mances of ZNMF with α = 1 − β in optimal condensed territory
Figure 4. Average correct recognition rates of the CNMF and ZNMF algorithms using the ORL database with 500 simula-tions at each factorization rank q ∈ {16, 25, 36, 49, 64, 81, 100}

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