在亚洲的很多地方，妇女做堕胎手术很容易，同样，超声波性别检测也是十分方便。

She may not have a clinic in her town, and in many parts of Asia abortion is readily available, and so is ultrasound.

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为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。

In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.

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研究人员认为，造成这种悬殊差距的大部分原因是某些夫妇用超声波来检测胎儿性别，并打掉女性胎儿。

Researchers believe much of the disparity comes from couples who employ ultrasound tests to identify and abort female fetuses.

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