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浏览/检索结果: 共21条，第1-10条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Multi-aspect self-supervised learning for heterogeneous information network 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14 作者:  Che, Feihu;  Tao, Jianhua;  Yang, Guohua;  Liu, Tong;  Zhang, Dawei 收藏  |  浏览/下载：26/0  |  提交时间：2021/12/28 Heterogeneous information network  Self-supervised  Contrastive learning  Graph neural network   An Empirical Study of Graph Contrastive Learning 会议论文 Online, 2021-12 作者:  Zhu, Yanqiao;  Xu, Yichen;  Liu, Qiang;  Wu, Shu 收藏  |  浏览/下载：3/0  |  提交时间：2022/06/13 Mix Contrast for COVID-19 Mild-to-Critical Prediction 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736 作者:  Zhu, Yongbei;  Wang, Shuo;  Wang, Siwen;  Wu, Qingxia;  Wang, Liusu 收藏  |  浏览/下载：33/0  |  提交时间：2021/12/28 COVID-19  Computed tomography  Measurement  Hospitals  Loss measurement  Training  Task analysis  Coronavirus disease 2019 (COVID-19)  contrastive learning  computed tomography  mixup  prognosis   Mask-guided contrastive attention and two-stream metric co-learning for person Re-identification 期刊论文 NEUROCOMPUTING, 2021, 卷号: 465, 页码: 561-573 作者:  Song, Chunfeng;  Shan, Caifeng;  Huang, Yan;  Wang, Liang 收藏  |  浏览/下载：59/0  |  提交时间：2021/11/03 Person ReID  Contrastive attention model  Two-stream metric learning   MCCN: Multimodal Coordinated Clustering Network for Large-Scale Cross-modal Retrieval 会议论文 Virtual Event, Oct. 20-24, 2021 作者:  Zeng, Zhixiong;  Sun, Ying;  Mao, Wenji 收藏  |  浏览/下载：7/0  |  提交时间：2022/06/17 Incremental Concept Learning via Online Generative Memory Recall 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216 作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang 收藏  |  浏览/下载：36/0  |  提交时间：2021/08/15 Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)   Multi -task contrastive learning for automatic CT and X-ray diagnosis of COVID-19 期刊论文 PATTERN RECOGNITION, 2021, 卷号: 114, 页码: 12 作者:  Li, Jinpeng;  Zhao, Gangming;  Tao, Yaling;  Zhai, Penghua;  Chen, Hao 收藏  |  浏览/下载：36/0  |  提交时间：2021/05/06 Computed tomography  X-ray  COVID-19  Deep learning  Multi-task learning  Contrastive learning   Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Liu, Yixin;  Li, Zhao;  Pan, Shirui;  Gong, Chen;  Zhou, Chuan 收藏  |  浏览/下载：4/0  |  提交时间：2022/04/02 Anomaly detection  Task analysis  Graph neural networks  Unsupervised learning  Predictive models  Pattern matching  Training  Anomaly detection  attributed networks  contrastive self-supervised learning  graph neural networks (GNNs)  unsupervised learning   Graph Contrastive Learning with Adaptive Augmentation 会议论文 Online, 2021-4 作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu 收藏  |  浏览/下载：4/0  |  提交时间：2022/06/13 Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 2, 页码: 503-513 作者:  Yang, Erkun;  Liu, Mingxia;  Yao, Dongren;  Cao, Bing;  Lian, Chunfeng 收藏  |  浏览/下载：40/0  |  提交时间：2021/03/29 Semantics  Bayes methods  Hash functions  Image retrieval  Visualization  Correlation  Deep Bayesian hashing  retrieval  multi-modal neuroimage  MRI  PET