ID 原文 译文
44506 采用随机级联回归树进行人脸特征点定位，引入了一个统计测量获得的刚性模型作为 3D 人脸近似，实现基于 PnP (perspective-n-point)映射的单幅图像头部姿态估计， The method applicate the stochastic cascade regression tree technique to locate facial feature points. With the feature points, the PnP (perspective-n-point) mapping technique is used to estimate the head posture based on a 3D rigid facial model obtained through statistical measurement.
44507 最后将学生视线投射到教师授课的视频图像上，实现学生学习注意力的可视化分析。 The method finally projects the gaze point on the frame image of the teaching video, which realizes the visualization of student learning attention.
44508 实验结果表明：对于Biwi 标准库，该方法可以将头部姿态估计角度平均误差降低到4.88°； Experiments demonstrate the following advantages of the method. 1) The method limits the average head-posture estimation errors under 4.88°with Biwi database.
44509 方法具有粗颗粒度的计算并行性，使用4 线程并行计算可以获得 2.37 倍的加速效果； 2) Thanks to the coarse-grained computing parallelism of the method, the work achieves 2.37X speedup with four threads.
44510 实现了 3 种典型学习状态（专注、关注、漠视）的注意力可视化分析。 3) the work has implemented student learning attention visualization analyses for three typical learning cases including engagement, attention, disregard.
44511 以一个网上授课系统为例，对机器学习及网络授课系统进行研究。 Took an online teaching system as an example, researched the application of machine learning and network teaching system.
44512 总结出以推荐系统为核心，包含 3 种机器学习模型，实现对用户和项目的特征提取与分类，最终完成系统对用户的个性化项目推荐的较综合的机器学习应用系统。 Concluded an integrated machine learning application system, which has a core of recommendation system and contains three machine learning models, the system realizes personalized recommendation for users by the feature extraction and classification of users and items.
44513 进而探索一种个性化的、可扩展的机器学习在网络教育中的应用。 Then explored a personalized and extensible machine learning application in web based education.
44514 Wi-Fi 定位技术是室内空间位置服务的重要手段，开发 Wi-Fi 定位与大数据相结合的平台并提供相应的智慧化服务，能大幅拓展智慧校园内涵。 Wi-Fi positioning technology is an important means of indoor space geolocaiton services, the combination of indoor Wi-Fi positioning technology with big data is applicable to intelligent campus in mobile internet era.
44515 着重探讨了面向移动终端用户的 Wi-Fi 定位平台的基础条件及技术算法，并实验测试与对比分析不同算法在不同场景下的优势，结果证明了 Wi-Fi 定位平台的可行性. The basic conditions and positioning algorithms of indoor Wi-Fi geolocaiton platform for mobile terminal users, compares the experimental data with different positioning algorithms, focuses on designs the intelligent campus big data service platform supported by Wi-Fi positioning technology, the result proves the feasibility of the Wi-Fi positioning platform.