Ensemble of Deep Autoencoder Classifiers for Activity Recognition Based on Sensor Modalities in Smart Homes
Ensemble of Deep Autoencoder Classifiers for Activity Recognition Based on Sensor Modalities in Smart Homes作者机构：School of Computer Science and Technology Harbin Institute of Technology 92 West Dazhi Street Nangang District Harbin 150001 People's Republic of China
出 版 物：《国际计算机前沿大会会议论文集》 (International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）)
年 卷 期：2018年第2期
页 面：24-24页
主 题：Activity recognition Deep learning Ensemble classifierSensor modalities Shallow features Smart homes Stacked autoencoder
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