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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     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 Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 6, 页码: 131-141 作者:  Shang, M.;  Luo, X.;  Liu, Z.;  Chen, J.;  Yuan, Y. 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 Analytical models  Big data  Buildings  Computational efficiency  Data mining  Data structures  Iterative methods  Learning systems  Adaptation models  Computational burden  Computational model  Latent factor models  Learning techniques  Prediction accuracy  Sparse matrices  State of the art  Matrix algebra   Attentive crowd flow machines 会议论文 MM 2018 - Proceedings of the 2018 ACM Multimedia Conference 作者:  Liu, L.;  Zhang, R.;  Peng, J.;  Li, G.;  Du, B. 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/30 Data storage equipment  Forecasting  Street traffic control  Dynamic representation  Mobility datum  Spatial temporal model  Spatial-temporal features  State-of-the-art methods  Traffic flow prediction  Unified neural networks  Urban traffic management  Long short-term memory   Bridge the gap between VQA and human behavior on omnidirectional video: A large-scale dataset and a deep learning model 会议论文 MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, 2018-10-22 作者:  Li, C.;  Xu, M.;  Du, X.;  Wang, Z. 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Behavioral research  Eye movements  Head movements  Human behaviors  Large-scale dataset  Learning models  Omnidirectional video  State-of-the-art performance  Subjective quality  Visual quality assessment  Deep learning   Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 会议论文 ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control 作者:  Chen, J.;  Luo, X. 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Computational efficiency  Iterative methods  Learning systems  Matrix algebra  Neural networks  Computational burden  Latent factor analysis  Latent factor models  Learning techniques  Prediction accuracy  Randomized Learning  Sparse matrices  State of the art  Data mining   Abnormal global and local event detection in compressive sensing domain 期刊论文 AIP ADVANCES, 2018, 卷号: 8 作者:  Wang, Tian;  Qiao, Meina;  Chen, Jie;  Wang, Chuanyun;  Zhang, Wenjia 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/30 Compressed sensing  Security systems  Abnormal detection  Abnormal event detections  Compressive sensing  Illumination changes  Measurement matrix  One-class Classification  Representation model  State-of-the-art methods  Motion analysis   Textured Detailed Graph Model for Dorsal Hand Vein Recognition: A Holistic Approach 会议论文 9th International Conference on Biometrics (ICB), Halmstad Univ, Halmstad, SWEDEN, 2016-06-13 作者:  Zhang, Renke;  Huang, Di;  Wang, Yunhong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Biometrics  Palmprint recognition  Basic graphs  Connecting lines  Graph model  Hand vein recognition  Holistic approach  Local Texture  State of the art  Texture features  Graph theory