Here, we propose to use four kinds of hierarchical prediction methods and make comparative studies on three data sets.
我们提出了四种层次化的预测方法，并且在三个数据集上做了比较实验。
In the first contribution, we address impacts of transmission error in quality degradation for hierarchical prediction structure in which the gap between two key pictures may be large.
本文的第一个贡献是，我们研究了在相邻关键帧时间跨度较大时的等级预测结构中，传输差错对重建图像质量的影响。
Hierarchical bit-plane prediction is then employed to explore interview correlation further.
采用层次化比特预测进一步挖掘比特平面的视角相关性。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
经标准化处理后，在确定时变参数估值的基础上，建立了大修费用多层递阶预测模型，并成功地实现了大修费用预测。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
在此基础上通过对典型样本的学习，建立装备研制费用预测模型。
The Multi?layer hierarchical recursion model for equipment overhaul cost forecasting is successfully established in overhaul cost prediction.
在此基础上通过对典型样本的学习，建立装备研制费用预测模型。
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