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