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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2018    内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Anomaly Detection for Videos of Crowded Scenes based on Optical Flow Information 会议论文 作者:  Gao, Yuan;  Cao, Hui;  Xu, Shuo;  Zhang, Jie;  Ning, Xiaolin 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/19 weighted random forests  spatial-temporal feature  optical flow information  Anomaly detection   An Effective Model Between Mobile Phone Usage and P2P Default Behavior 会议论文 作者:  Liu, Huan;  Ma, Lin;  Zhao, Xi;  Zou, Jianhua 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/19 Default behavior  Default risk  Evaluation metrics  Joint decisions  Light gradients  Mobile carriers  Mobile phone usages  Random forests   Prediction of days in hospital for children using random forest 会议论文 作者:  Wang, Chenguang;  Dong, Xueling;  Yu, Limin;  Ye, Lishan;  Zhuang, Weifen 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26 Bagging method  Days in hospitals  Hospital information systems  Personal information  Predictive accuracy  Random forest algorithm  Random forest methods  Random forests   Anomaly Detection for Videos of Crowded Scenes based on Optical Flow Information 会议论文 2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM), 2018-01-01 作者:  Gao, Yuan;  Cao, Hui;  Xu, Shuo;  Zhang, Jie;  Ning, Xiaolin 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Anomaly detection  weighted random forests  spatial-temporal feature  optical flow information   A novel method of overrun risk measurement and assessment using large scale QAR Data 会议论文 Proceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018, 2018-03-26 作者:  Lv, H.;  Yu, J.;  Zhu, T. 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/30 Aircraft accidents  Decision trees  Learning systems  Risk assessment  Supersonic aerodynamics  Commercial aircraft  Feature dimensions  Flight parameters  Machine learning models  Overrun risk mea surement  QAR Data  Random forests  Risk measurement  Big data   Ship detection based on multiple features in random forest model for hyperspectral images 会议论文 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 作者:  Li, N.;  Ding, L.;  Zhao, H.;  Shi, J.;  Wang, D. 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/30 Decision trees  Hyperspectral imaging  Image texture  Independent component analysis  Infrared devices  Infrared radiation  Principal component analysis  Remote sensing  Ships  Spectroscopy  Support vector machines  Tellurium compounds  Multiple features  Random forests  Ship detection  Spectral feature  Texture features  Feature extraction