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。
The active chemical learning is not only a challenge to the traditional learning method but an entirely new learning model that meets the need of the chemistry education in the network days.
基于网络环境的化学自主学习,既是对传统学习方式的挑战,也是适应网络时代化学教育需求的一种全新的学习模式。
In the light of the active learning features under the network environment, the paper brings forward its theoretical basis, construction principles, learning model and the operating strategy.
该文结合网络环境下自主学习的特点,提出了网络环境下构建化学自主学习模式的理论基础、构建原则、学习模式及其运作策略。
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