Any definition of a distance metric has to satisfy a handful of properties to qualify; for example, a distance can never be negative.
距离度量的任何定义都必须满足一些可以度量的属性；例如，距离永远不可能为负。
Since prefetch distance is not a well-defined metric, for this discussion, we define a new term, prefetch scheduling distance (PSD), which is represented by the number of iterations.
由于预取距离不是一个明确的指标，为了讨论，我们定义一个新的术语，预取调度距离（PSD），它是由迭代的次数反映。
This coefficient is, deliberately, not a distance metric.
这个系数本意不是距离度量。
To speed up high-dimensional similarity search efficiency, a novel high-dimensional indexing structure based on dual distance metric (DDM) was proposed.
为了提高高维数据相似查询的效率，提出一种基于双重距离尺度(DDM)的新型高维索引结构。
A systematic comparative analysis is conducted in terms of distance metric used, number of selected features on USTB2 ear database.
通过在USTB 2人耳库上的实验，对所采用的空间几何距离及选择的特征数进行了一个系统的比较分析。
Hence, the key point is how to learn a proper distance metric automatically from the feature space of labeled images.
因此，如何能够从有类标的图像特征空间中自动学到一种合适的距离测度就显得十分关键。
It is a distance-vector protocol which uses hop counts as the metric.
它是将跳数作为度量值的距离向量协议。
On the other hand, a proper distance metric, which reflects the semantic similarity between images, is obtained by using a distance metric learning algorithm.
另一方面，对线性融合后的特征，利用距离测度学习算法从图像训练集中学到一个距离函数以更恰当的反映图像内容间的相似度。
Most of the simplification algorithms use a distance metric as simplification criteria.
摘要在以往的网格简化算法中，大多是采用空间几何距离作为简化准则。
Most of the simplification algorithms use a distance metric as simplification criteria.
摘要在以往的网格简化算法中，大多是采用空间几何距离作为简化准则。
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