Robust Object Recognition under Partial Occlusions Using NMF

Figure 9

Classification results for USPS training image data. (a), (c), (e): Hoyer's Nmfsc algorithm applied to occluded test images for 𝑠_𝑊=0.1,0.5,0.9, 𝑠_𝐻=[]. (b), (d), (f): our modified modNMF algorithm applied to occluded test images for the identical values of the sparseness parameters.

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