CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载:252/0  |  提交时间:2022/11/14
Perturbation methods  Semantics  Computational modeling  Codes  Task analysis  Privacy  Software  Adversarial perturbation  deep neural network (DNN)  privacy protection  semantic retrieval  
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载:210/0  |  提交时间:2022/11/14
Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载:298/43  |  提交时间:2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Adaptively Weighted k-Tuple Metric Network for Kinship Verification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Huang, Sheng;  Lin, Jingkai;  Huangfu, Luwen;  Xing, Yun;  Hu, Junlin;  Zeng, Daniel Dajun
收藏  |  浏览/下载:204/0  |  提交时间:2022/06/10
Measurement  Feature extraction  Task analysis  Faces  Deep learning  Convolutional neural networks  Genetics  Deep learning  kinship verification  metric learning  relation network (RN)  triplet loss  
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks 期刊论文
IEEE Intelligent Systems, 2020, 卷号: Early Access, 期号: Early Access, 页码: 1-1
作者:  Wanting Wen;  Daniel D. Zeng;  Jie Bai;  Kang Zhao;  Ziqiang Li
浏览  |  Adobe PDF(516Kb)  |  收藏  |  浏览/下载:206/82  |  提交时间:2020/10/21
Heterogeneous networks  Task analysis  Intelligent systems  Learning (artificial intelligence)