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Finding an Optimal Region in One- and Two-Dimensional Arrays

机译:在一维和二维阵列中找到最佳区域

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Given N real weights w_1, w_2,…, w_N stored in one--dimensional array, we consider the problem for finding an optimal interval I is contained in [1, N] under certain criteria. We shall re- view efficient algorithms developed for solving such problems Un- der several optimality criteria. This problem can be naturally extended to two-dimensional case. Namely, given a N × N two- dimensional array of N~2 reals, the problem seeks to find a sub- region of the array (e.g., rectangular subarray R) that optimizes a certain objective function. We shall also review several algo- rithms for such problems. We shall also mention applications of these problems to region segmentation in image processing and to data mining.
机译:给定一维数组中存储的N个实际权重w_1,w_2,…,w_N,我们认为在某些条件下[1,N]中包含寻找最佳区间I的问题。我们将在几种最佳标准下,回顾为解决此类问题而开发的有效算法。这个问题自然可以扩展到二维情况。即,给定N×2个实数的N×N的二维阵列,该问题试图找到优化某个目标函数的阵列的子区域(例如,矩形子阵列R)。我们还将审查有关此类问题的几种算法。我们还将提到这些问题在图像处理中的区域分割和数据挖掘中的应用。

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