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• OAI收割 [13]

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浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 SANet: Statistic Attention Network for Video-Based Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 6, 页码: 3866-3879 作者:  Bai, Shutao;  Ma, Bingpeng;  Chang, Hong;  Huang, Rui;  Shan, Shiguang   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/12/07 Feature extraction  Task analysis  Computational modeling  Visualization  Video sequences  Fuses  Computer science  Person re-identification  self-attention  long-range dependencies  high-order statistics   Motion Feature Aggregation for Video-Based Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3908-3919 作者:  Gu, Xinqian;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/12/07 Feature extraction  Optical imaging  Computational modeling  Spatiotemporal phenomena  Data mining  Training  Tracking  Video-based person re-identification  temporal information modeling  motion feature extraction   Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1239-1251 作者:  Cao, Min;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Peng, Silong   |  收藏  |  浏览/下载：84/0  |  提交时间：2021/06/07 Probes  Feature extraction  Computational complexity  Visualization  Manifolds  Context modeling  Training  Contextual information  person re-identification  post-processing   Tensor Multi-Task Learning for Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 2463-2477 作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi   |  收藏  |  浏览/下载：44/0  |  提交时间：2020/03/30 Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization   Quantum gate identification: Error analysis, numerical results and optical experiment 期刊论文  OAI收割 AUTOMATICA, 2019, 卷号: 101, 页码: 269-279 作者:  Wang, Yuanlong;  Yin, Qi;  Dong, Daoyi;  Qi, Bo;  Petersen, Ian R.   |  收藏  |  浏览/下载：48/0  |  提交时间：2019/04/02 Quantum system  Quantum tomography  Quantum gate identification  Computational complexity   A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 卷号: 63, 期号: 5, 页码: 1388-1403 作者:  Wang, Yuanlong;  Dong, Daoyi;  Qi, Bo;  Zhang, Jun;  Petersen, Ian R.   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/07/30 Computational complexity  Hamiltonian identification  process tomography  quantum system   Identification and function annotation of long intervening noncoding RNAs 期刊论文  OAI收割 BRIEFINGS IN BIOINFORMATICS, 2017, 卷号: 18, 期号: 5, 页码: 789-797 作者:  Luo, Haitao;  Bu, Dechao;  Sun, Liang;  Fang, Shuangsang;  Liu, Zhiyong   |  收藏  |  浏览/下载：38/0  |  提交时间：2019/12/12 transcriptom sequencing  noncoding RNAs  gene identification  function annotation  network analysis  computational method   Computational Identification of MicroRNAs from the Expressed Sequence Tags of Toxic Dinoflagellate Alexandrium Tamarense 期刊论文  OAI收割 EVOLUTIONARY BIOINFORMATICS, 2013, 卷号: 9, 页码: 479-485 Gao, Dahai; Qiu, Limei; Hou, Zhanhui; Zhang, Qingchun; Wu, Jianmin; Gao, Qiang; Song, Linsheng 收藏  |  浏览/下载：22/0  |  提交时间：2014/07/17 microRNA  computational identification  EST  dinoflagellate   Computational drug discovery 期刊论文  OAI收割 ACTA PHARMACOLOGICA SINICA, 2012, 卷号: 33, 期号: 9, 页码: 1131-1140 作者:  Ou-Yang, Si-sheng;  Lu, Jun-yan;  Kong, Xiang-qian;  Liang, Zhong-jie;  Luo, Cheng   |  收藏  |  浏览/下载：33/0  |  提交时间：2019/01/08 computational drug discovery  target identification  lead discovery   Parameter identification of airborne vibrated image based on high-speed CCD (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Shi J.; Xue X.; Guo Y. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 In order to identify the vibration parameters of a vibrated image  the principle and shortage of the traditional methods that based on image derivative and image transformation are analyzed  and a new parameter identification method is proposed afterward. By placing a high-speed CCD aside the master CCD  the vibration can be sampled accurately  and more information can be obtained for parameter identification. The series frames that captured by high-speed CCD are processed by gray projection algorithm and the vibration extents between adjacent frames along x and y direction are obtained. By using simple triangle operations  the vibration parameters can be identified  and the computational complexity of which can be reduced greatly. The experiment shows that the parameter identification method based on high-speed CCD can identify the parameters of vibration with any form accurately. The precise of parameter identification for linear vibration is less than 2.95%. 2010 IEEE.