李 “나와 애들 추억묻은 애착인형 같은 집…돈 때문에 판 것 아냐”
The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation:
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这个判决在当时看来合情合理，却在二十年后为整个 AI 行业提供了一块挡箭牌。
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