机构

• 自动化研究所 [40]

采集方式

• OAI收割 [40]

内容类型

• 期刊论文 [22]
• 会议论文 [17]
• 学位论文 [1]

发表日期

• 2019 [40]

学科主题

• 计算机科学技术::人... [1]

筛选

浏览/检索结果: 共40条，第1-10条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位    发表日期：2019     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Convolutional relation network for skeleton-based action recognition 期刊论文  OAI收割 NEUROCOMPUTING, 2019, 卷号: 370, 页码: 109-117 作者:  Zhu, Jiagang;  Zou, Wei;  Zhu, Zheng;  Hu, Yiming   |  收藏  |  浏览/下载：76/0  |  提交时间：2020/03/30 Action recognition  Skeleton  Deep learning  Joint interaction  Dilation  Attention   Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 3847-3852 作者:  Zhang, Wei;  He, Xuanyu;  Lu, Weizhi;  Qiao, Hong;  Li, Yibin   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/03/30 Feature extraction  Task analysis  Cameras  Noise measurement  Learning systems  Reinforcement learning  Feature aggregation  reinforcement learning (RL)  sequential decision making  video-based person re-identification (re-id)   Perceiving Motion From Dynamic Memory for Vehicle Detection in Surveillance Videos 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 3558-3567 作者:  Liu, Wei;  Liao, Shengcai;  Hu, Weidong   |  收藏  |  浏览/下载：38/0  |  提交时间：2020/03/30 Videos  Feature extraction  Object detection  Detectors  Surveillance  Proposals  Dynamics  Object detection  surveillance video  deep neural network   Noise Prior Knowledge Learning for Speech Enhancement via Gated Convolutional Generative Adversarial Network 会议论文  OAI收割 Lanzhou, China, 18-21 Nov. 2019 作者:  Fan, Cunhang;  Liu, Bin;  Tao, Jianhua;  Yi, Jiangyan;  Wen, Zhengqi   |  收藏  |  浏览/下载：8/0  |  提交时间：2021/06/01 Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity 会议论文  OAI收割 Hong Kong, China, 2019-11 作者:  Penghui Wei;  Nan Xu;  Wenji Mao   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/06/16 Dilated temporal relational adversarial network for generic video summarization 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 页码: 25 作者:  Zhang, Yujia;  Kampffmeyer, Michael;  Liang, Xiaodan;  Zhang, Dingwen;  Tan, Min   |  收藏  |  浏览/下载：31/0  |  提交时间：2020/03/30 Video summarization  Dilated temporal relation  Generative adversarial network  Three-player loss   Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks 期刊论文  OAI收割 NEURAL NETWORKS, 2019, 卷号: 118, 页码: 140-147 作者:  Zeng, Guanxiong;  Huang, Xuhui;  Jiang, Tianzi   |  收藏  |  浏览/下载：94/0  |  提交时间：2019/12/16 Reservoir computing  Sequence learning and retrieval  Short-term depression  Synaptic heterogeneity  Self-organized criticality  Optimal information processing   Pixelwise Deep Sequence Learning for Moving Object Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579 作者:  Chen, Yingying;  Wang, Jinqiao;  Zhu, Bingke;  Tang, Ming;  Lu, Hanqing   |  收藏  |  浏览/下载：66/0  |  提交时间：2019/12/16 Moving object detection  background modeling  moving object proposal  convolutional neural networks   Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文  OAI收割 EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552 作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao   |  收藏  |  浏览/下载：119/0  |  提交时间：2019/12/16 Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning   Parallel group ICA plus ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia 期刊论文  OAI收割 HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 13, 页码: 3795-3809 作者:  Qi, Shile;  Sui, Jing;  Chen, Jiayu;  Liu, Jingyu;  Jiang, Rongtao   |  收藏  |  浏览/下载：99/0  |  提交时间：2019/12/16 group independent component analysis  multimodal fusion  parallel independent component analysis  schizophrenia  subjects' variability  temporal information