预测技术是最简单的一种方法，它直接探索谱带与谱带之间的相关性，具有算法简单、易于实现的特点。

And it explore directly the spectral correlations of hyperspectral images. Its method is very simple and easy to be implemented.

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本文就是探索如何更好的使用数据挖掘的相关技术对铁路普通线路客运量进行预测。

The paper's purpose is how to use data mining tools to forecast traffic volume effectively.

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介绍了头部跟踪技术的研究动态，阐述了对头部跟踪规律的探索以及在预测算法的设计上所做的工作。

The worldwide research status of head tracking is introduced and the works made in the research of the predictive algorithm and in the exploration of the rule of the head tracking are set forth.

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