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Attribute-Guided Cross-Modal Interaction and Enhancement for Audio-Visual Matching 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 4986-4998
作者:  Wang, Jiaxiang;  Zheng, Aihua;  Yan, Yan;  He, Ran;  Tang, Jin
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/03
Audio-visual cross-modal matching  attribute-guided cross-modal interaction  attribute-guided cross-modal enhancement  
Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study 期刊论文
GASTRIC CANCER, 2023, 页码: 12
作者:  Fang, Shuangshuang;  Liu, Zhenyu;  Qiu, Qi;  Tang, Zhenchao;  Yang, Yang;  Kuang, Zhongsheng;  Du, Xiaohua;  Xiao, Shanshan;  Liu, Yanyan;  Luo, Yuanbin;  Gu, Liping;  Tian, Li;  Liang, Xiaoxia;  Fan, Guiling;  Zhang, Yu;  Zhang, Ping;  Zhou, Weixun;  Liu, Xiuli;  Tian, Jie;  Wei, Wei
收藏  |  浏览/下载：133/0  |  提交时间：2024/02/22
Atrophic gastritis  Semi-supervised deep learning  Diagnose  The operative link for gastric intestinal metaplasia assessment  The operative link for gastritis assessment  
Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 338-351
作者:  Zheng, Aihua;  Hu, Menglan;  Jiang, Bo;  Huang, Yan;  Yan, Yan;  Luo, Bin
收藏  |  浏览/下载：270/0  |  提交时间：2022/03/17
Visualization  Task analysis  Measurement  Speech recognition  Videos  Location awareness  Image recognition  Adversarial learning  audio-visual matching  cross-modal learning  metric learning  
Learning Document Semantic Representation with Hybrid Deep Belief Network 期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2015
作者:  Yan, Yan;  Yin, Xu-Cheng;  Li, Sujian;  Yang, Mingyuan;  Hao, Hong-Wei
收藏  |  浏览/下载：52/0  |  提交时间：2020/10/27
A dedicated eight-channel receive RF coil array for monkey brain MRI at 9.4 T 期刊论文
NMR IN BIOMEDICINE, 2020, 页码: 16
作者:  Li, Mingyan;  Li, Yu;  Jin, Jin;  Yang, Zhengyi;  Zhang, Baogui;  Liu, Yanyan;  Song, Ming;  Freakly, Craig;  Weber, Ewald;  Liu, Feng;  Jiang, Tianzi;  Crozier, Stuart
收藏  |  浏览/下载：276/0  |  提交时间：2020/08/31
applications  array coils  computational  electromagnetics  diffusion-weighted imaging  MR engineering  neurological  parallel imaging  
Cholesky Decomposition-Based Metric Learning for Video-Based Human Action Recognition 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 36313-36321
作者:  Chen, Si;  Shen, Yuanyuan;  Yan, Yan;  Wang, Dahan;  Zhu, Shunzhi
收藏  |  浏览/下载：277/0  |  提交时间：2020/06/02
Human action recognition  metric learning  Cholesky decomposition  
A method to induce human cortical long-term potentiation by acoustic stimulation 期刊论文
ACTA OTO-LARYNGOLOGICA, 2017, 卷号: 137, 期号: 10, 页码: 1069-1076
作者:  Lei, Guanxiong;  Zhao, Zeqi;  Li, Yalan;  Yu, Liming;  Zhang, Xin;  Yan, Yan;  Ma, Xiaoyan;  Wang, Qian;  Wang, Keshuang;  Zhang, Duo;  Shen, Weidong;  Qiao, Yuehua;  Yang, Shiming
收藏  |  浏览/下载：257/0  |  提交时间：2018/03/03
Long-term Potentiation  Auditory Evoked Potential  Auditory Evoked Ltp  Cortical Plasticity  Tetanic Stimulation  
Evolved neural network ensemble by multiple heterogeneous swarm intelligence 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 期号: A, 页码: 29-38
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Lin, Yan-yan;  Wei, Fang;  Wang, Shi-Ku;  Xiao, Tong-Lu;  Cao, Mao-Yong;  Hou, Zeng-Guang
浏览  |  Adobe PDF(1108Kb)  |  收藏  |  浏览/下载：306/94  |  提交时间：2015/10/13
Neural Network Ensemble  Particle Swarm Optimization  Differential Evolution  Artificial Bee Colony  Chaotic Search  
Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization 期刊论文
JOURNAL OF APPLIED MATHEMATICS, 2013
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Lin, Yan-yan;  Wei, Fang;  Wang, Shi-Ku;  Xiao, Tong-Lu;  Cao, Mao-Yong;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：200/0  |  提交时间：2015/08/12
Learning Representative Features for Robot Topological Localization Regular Paper 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2013, 卷号: 10
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Wei, Fang;  Lin, Yan-Yan;  Li, Yi-Bin;  Hou, Zeng-Guang;  Tan, Min
收藏  |  浏览/下载：276/0  |  提交时间：2015/08/12
Vision-based Localization  Hidden Markov Model  Invariant Feature  Competitive Learning