机译:特征选择对预测人群灾难的个人活动识别分类的影响
School of Computing Faculty of Engineering Universiti Teknologi Malaysia (UTM)|Faculty of Physical Sciences Ambrose Alli University Ekpoma Nigeria;
School of Computing Faculty of Engineering Media and Games Centre of Excellence (MagicX)|Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia Kuala Lumpur Jalan Sultan Yahya Petra|Center for Basic and Applied Research Faculty of Informatics and Management University of Hradec Kralove;
Center for Basic and Applied Research Faculty of Informatics and Management University of Hradec Kralove;
School of Computing Faculty of Engineering Universiti Teknologi Malaysia (UTM);
statistical-based time frequency domain; SBTFD; human activity recognition; HAR; minimum redundancy maximum relevance; MRMR; chi-square; dimensionality reduction;
机译:考虑试验和个人活动识别机器学习的特征选择算法
机译:使用遗传算法来使用环境声音来产生儿童活动模型的识别和分类的特征选择
机译:基于惯性感知单元的活动识别特征选择与分类方法
机译:减轻人群灾难的人类活动识别预测
机译:重新控制神经影像和基因组数据的特征选择,分类和预测中的错误发现
机译:使用眼动描记法进行活动识别的眼动分类中的特征选择
机译:使用遗传算法来使用环境声音来产生儿童活动模型的识别和分类的特征选择