本文通过一个两阶段实验证明，超过人脑处理能力限制的偏好排序是不稳定的。
This paper, based on a simple two-staged experiment, proves that preference ordering beyond the processing capacity of human brains is unstable.
分析了摄像机模型，提出了基于两阶段法和捆绑调整的摄像机定标方法，并通过模拟实验和真实实验进行了验证。
This paper analyzes the camera model and proposes calibration methods based on the two stage method and bundle adjustment. Both simulated experiments and real data were used to verify the methods.
为了缩短训练时间，提高实验结果，我们采用两阶段分类的方法。
In order to shorten the training time and improve results, we have adopted a two-stage classification method.
结果证明，并不存在统一的一个幂函数关系，实验数据更倾向于解释为两阶段的组合幂函数。
Rather than a single power-law relationship, our data are fit by a biphasic, mixed-power function.
结果证明，并不存在统一的一个幂函数关系，实验数据更倾向于解释为两阶段的组合幂函数。
Rather than a single power-law relationship, our data are fit by a biphasic, mixed-power function.
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