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Moreover, we prove that ASVRG-ADMM converges linearly for SC problems. In particular, ASVRG-ADMM improves the convergence rate from O(1/T) to O(1/T2) for non-SC problems. Finally, we apply ASVRG-ADMM to various machine learning problems, and show that ASVRG-ADMM consistently converges faster than the state-of-the-art methods.Both weakly supervised single object localization and semantic segmentation techniques learn an object's location using only image-level labels. However, these techniques are limited to cover only the most discrimin
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