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Many FPGA implementations for QR decomposition have been studied on small-scale matrix and all of them are presented individually. However to the best of our knowledge, there is no FPGA-based accelerator for large-scale QR decomposition. In this paper, we propose a unified FPGA accelerator structure for large-scale QR decomposition. To exploit the computational potential of FPGA, we introduce a fine-grained...
Feature extraction is an important topic in machine learning. There are two representative criterions for feature extraction, i.e. Fisher Criterion and Maximum Margin Criterion. In this paper, we propose a new criterion, called Regular Simplex Criterion. This criterion requires that samples from the same class are projected to the same point, while samples from different classes have unit distance...
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