Tightly coordinated data movement and low-latency on-chip storage for real-time environments.
Abstract: Selecting a portion of points that users are interested in many applications such as online search and recommendation when facing large amounts of data. The k-regret problem was recently ...
Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
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