The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.
儘管如此,許多年輕人對這段歷史依舊保有距離甚至選擇避而不談。為什麼民主化30年後,歷史記憶在新世代之間依然出現斷層?在二二八事件79週年之際,BBC中文採訪多名年輕人與學者,試圖找出答案。
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Future smoke alarms might use very different tech. Researchers have developed an AI-based system that uses machine learning to detect fire in video feeds. The tool can spot fire and smoke in footage from "any camera", says Prabodh Panindre at New York University – including CCTV, doorbell cameras and phone cameras.
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Blue: Person in common