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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2017    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 Counting Crowd with Fully Convolutional Networks 会议论文 2017 2ND INTERNATIONAL CONFERENCE ON MULTIMEDIA AND IMAGE PROCESSING (ICMIP), 2017-01-01 作者:  Wang, Jianyong[1];  Wang, Lu[2];  Yang, Fenglei[3] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/24 crowd counting  density estimation  fully convolutional networks   Design and Analysis of Highly Efficient Reflective 1x3 Splitting Grating with Triangular Structure 会议论文 作者:  Zhou, Changhe;  Lu, Yancong;  Zong, Yonghong;  Ma, Jianyong;  Wang, Jin 收藏  |  浏览/下载：24/0  |  提交时间：2017/12/25 Three-dimensional edge extraction in optical scanning holography 会议论文 作者:  Ma, Jianyong;  Jia, Wei;  Wang, Jin;  Zong, Yonghong;  Zhou, Changhe 收藏  |  浏览/下载：34/0  |  提交时间：2017/12/25 Design and Analysis of Highly Efficient Reflective 1x3 Splitting Grating with Triangular Structure 会议论文 作者:  Ma, Jianyong;  Zhou, Changhe;  Wang, Jin;  Jia, Wei;  Lu, Yancong 收藏  |  浏览/下载：35/0  |  提交时间：2017/12/25 Three-dimensional edge extraction in optical scanning holography 会议论文 作者:  Ma, Jianyong;  Wang, Jin;  Jia, Wei;  Zhou, Changhe;  Zong, Yonghong 收藏  |  浏览/下载：18/0  |  提交时间：2017/12/25 Robust Preliminary-Summation-based Principal Component Analysis for Non-Gaussian Processes with Outliers 会议论文 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP), MAY 28-31, 2017 作者:  Lou, Zhijiang;  Tuo, Jianyong;  Wang, Youqing 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Process monitoring  principal component analysis (PCA)  preliminary-summation-based PCA (PS-PCA)  the central limit theorem  robust preliminary-summation-based PCA (RPS-PCA)   Two-step Principal Component Analysis for Dynamic Processes 会议论文 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP), MAY 28-31, 2017 作者:  Lou, Zhijiang;  Tuo, Jianyong;  Wang, Youqing 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/31 Process monitoring  principal component analysis (PCA)  dynamic PCA  (DPCA)  discrete-time state space model  state space PCA (SS-PCA)