Abstract: K-means is a popular but computation-intensive algorithm for unsupervised learning. To address this issue, we present KPynq, a work-efficient triangle-inequality based K-means on FPGA for ...
Abstract: Distance estimation and localization are essential tasks in modern wireless networks with a wide range of applications. Distance is a geometrical concept and hence, various numbers of ...
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