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RFID data cleansing with Bayesian Filters
People spend a significant amount of time in indoor spaces (e.g., office buildings, subway systems, etc.) in their daily lives. Therefore, it is important to develop efficient indoor spatial query algorithms for supporting ...
On the Machine Illusion
In this work, we empirically study an emerging problem in the machine learning community, i.e., the adversarial samples. Specifically, we focus on the discussion within the realm of neural networks. The existence of ...