Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.
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“한국은 ‘얼죽아’의 본고장”… 스타벅스, 韓서 세계 최초 ‘에어로카노’ 출시
这背后的战略动机在于，谷歌云急需向华尔街证明，其每年砸下的数百亿 AI 基建投资，能够转化为真金白银的商业回报。