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Collaborative representation-based classification with distance-weighted Tikhonov regularization (CRT) has offered high accuracy and efficiency. Due to its per-pixel classification nature without a training step, this paper develops a parallel implementation by using compute unified device architecture (CUDA) on graphics processing units (GPUs). To further improve classification accuracy, local binary...
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