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CASIA OpenIR

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Open set domain adaptation with latent structure discovery and kernelized classifier learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:  Tang, Yongqiang;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：45/0  |  提交时间：2023/11/17
Open set domain adaptation  Adaptive graph learning  Latent structure discovery  Kernelized classifier learning  
Class-Oriented Self-Learning Graph Embedding for Image Compact Representation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 74-87
作者:  Hu, Liangchen;  Dai, Zhenlei;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：151/0  |  提交时间：2023/03/20
Sparse matrices  Manifolds  Machine learning algorithms  Laplace equations  Heuristic algorithms  Data models  Data mining  Adaptive graph learning  separability examination  marginal information preserving  L-2,L-p-norm sparsity  compact representation  
两阶段领域自适应学习 期刊论文
模式识别与人工智能, 2019, 卷号: 32, 期号: 9, 页码: 773-784
作者:  田磊;  唐永强;  张文生
Adobe PDF(705Kb)  |  收藏  |  浏览/下载：152/44  |  提交时间：2022/06/14
领域自适应  两阶段学习  边缘分布适配  条件分布适配  判别信息保留  
An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension 期刊论文
CELL REPORTS MEDICINE, 2022, 卷号: 3, 期号: 3, 页码: 13
作者:  Yu, Qian;  Huang, Yifei;  Li, Xiaoguo;  Pavlides, Michael;  Liu, Dengxiang;  Luo, Hongwu;  Ding, Huiguo;  An, Weimin;  Liu, Fuquan;  Zuo, Changzeng;  Lu, Chunqiang;  Tang, Tianyu;  Wang, Yuancheng;  Huang, Shan;  Liu, Chuan;  Zheng, Tianlei;  Kang, Ning;  Liu, Changchun;  Wang, Jitao;  Akcalar, Seray;  Celebioglu, Emrecan;  Ustuner, Evren;  Bilgic, Sadik;  Fang, Qu;  Fu, Chi-Cheng;  Zhang, Ruiping;  Wang, Chengyan;  Wei, Jingwei;  Tian, Jie;  Ormeci, Necati;  Ellik, Zeynep;  Asiller, Ozgun Omer;  Ju, Shenghong;  Qi, Xiaolong
收藏  |  浏览/下载：236/0  |  提交时间：2022/06/10
venous pressure gradient (HVPG)  
Structure-aware siamese graph neural networks for encounter-level patient similarity learning 期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:  Gu, Yifan;  Yang, Xuebing;  Tian, Lei;  Yang, Hongyu;  Lv, Jicheng;  Yang, Chao;  Wang, Jinwei;  Xi, Jianing;  Kong, Guilan;  Zhang, Wensheng
收藏  |  浏览/下载：202/0  |  提交时间：2022/06/10
Encounter-Level Patient Similarity  Representation Learning  Siamese Networks  Graph Neural Networks  
Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 期号: 0, 页码: 0
作者:  Zhida, Ren;  Yongqiang, Tang;  Zewen, He;  Lei, Tian;  Yang, Yang;  Wensheng, Zhang
Adobe PDF(3882Kb)  |  收藏  |  浏览/下载：175/30  |  提交时间：2022/04/22
Deep learning  ship detection  saliency detection  high-resolution optical images  remote sensing  
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes 期刊论文
Neural Processing Letters, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Lei, Tian;  Yongqiang, Tang;  Wensheng, Zhang
Adobe PDF(912Kb)  |  收藏  |  浏览/下载：185/50  |  提交时间：2022/04/06
Partial domain adaptation  Domain adaptation  Transfer learning  Self-paced learning  Low-dimensional subspace learning  
Deep convolutional self-paced clustering 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Tian, Lei;  Zhang, Caixia;  Zhang, Wensheng
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：223/43  |  提交时间：2021/11/02
Deep clustering  Convolutional autoencoder  Local structure preservation  Self-paced learning  
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15
作者:  Hu, Liangchen;  Xu, Jingke;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载：157/0  |  提交时间：2021/01/07
Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：302/61  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning