总结说来，这些应用皆显示我们提出的成对特征学习演算法，可大幅增进分类准确率。

In summary, all these experiments demonstrate the improvement in accuracy by using the proposed paired feature learning in an AdaBoost classification framework.

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本课程涵盖了语法、语意及对话处理模型，著重在机器学习或是以语料库为基础的方法及演算法。

It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.

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接著， 我们利用这篇论文提出的成对特徵学习，开发出一套可直接在小波压缩域上进 行人脸侦测的新演算法。

Secondly, we develop a new face detection algorithm that works directly on the wavelet compressed domain based on the same paired feature learning framework.

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