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检索条件"机构=Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence"
104 条 记 录,以下是81-90 订阅
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Unsupervised concatenation hashing via combining subspace learning and graph embedding for cross-Modal image retrieval
arXiv
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arXiv 2019年
作者: Yu, Jun Wu, Xiao-Jun School of IoT Engineering Jiangnan University Wuxi214122 China The Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Different from the content-based image retrieval methods, cross-modal image retrieval methods uncover the rich semantic-level information of social images to further understand image contents. As multiple modal data d... 详细信息
来源: 评论
Collaborative representation-based robust face recognition by discriminative low-rank representation
arXiv
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arXiv 2019年
作者: Zhao, Wen Wu, Xiao-Jun Yin, He-Feng Li, Zi-Qi School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
We consider the problem of robust face recognition in which both the training and test samples might be corrupted because of disguise and occlusion. Performance of conventional subspace learning methods and recently p... 详细信息
来源: 评论
2DR1-PCA and 2DL1-PCA: Two variant 2DPCA algorithms based on none L2norm
arXiv
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arXiv 2019年
作者: Liu, Xing Wu, Xiao-Jun Li, Zi-Qi Jiangnan University School of Internet of Things Engineering Lihu Avenue Wuxi China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence Lihu Avenue Wuxi China
In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for face recognition. Compared to the traditional 2DPCA algorithm, 2DR1-PCA and 2DL1-PCA are based on the R1norm and L1norm, respectively. The advan... 详细信息
来源: 评论
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
arXiv
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arXiv 2022年
作者: Li, Wenjie Li, Juncheng Gao, Guangwei Deng, Weihong Zhou, Jiantao Yang, Jian Qi, Guo-Jun The Intelligent Visual Information Perception Laboratory Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210046 China The Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China The School of Communication and Information Engineering Shanghai University Shanghai200444 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing210094 China The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China The State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Faculty of Science and Technology University of Macau 999078 China The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China The Research Center for Industries of the Future The School of Engineering Westlake University Hangzhou310024 China OPPO Research SeattleWA98101 United States
Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction. However, the capabilities of Transformers that need ... 详细信息
来源: 评论
Affine Non-negative Collaborative Representation Based pattern Classification
arXiv
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arXiv 2020年
作者: Yin, He-Feng Wu, Xiao-Jun Feng, Zhen-Hua Kittler, Josef School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
—During the past decade, representation-based classification methods have received considerable attention in pattern recognition. In particular, the recently proposed non-negative representation based classification ... 详细信息
来源: 评论
Locality constraint dictionary learning with support vector for pattern classification
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Chen, Su-Gen School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 School of Mathematics and Computational Science Anqing Normal University Anqing246133
Discriminative dictionary learning (DDL) has recently gained significant attention due to its impressive performance in various pattern classification tasks. However, the locality of atoms is not fully explored in con... 详细信息
来源: 评论
Fabric defect detection method based on Cascade Deep Support Vector Data Description
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Journal of Physics: Conference Series 2020年 第1期1651卷
作者: Xupeng Wang Yueyang Li Haichi Luo Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China College of Internet of Things Engineering Jiangnan University Wuxi China
The Fabric defect detection method based on Cascade Deep Support Vector Data Description (SVDD) is proposed in this paper. The method describes the data by Deep SVDD to realize the correct evaluation between the norma...
来源: 评论
Non-negative representation based discriminative dictionary learning for face recognition
arXiv
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arXiv 2019年
作者: Chen, Zhe Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of IoT Engineering Jiangnan University Wuxi214122 China CVSSP University of Surrey GuildfordGU2 7XH United Kingdom
In this paper, we propose a non-negative representation based discriminative dictionary learning algorithm (NRDL) for multicategory face classification. In contrast to traditional dictionary learning methods, NRDL inv... 详细信息
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Class-specific residual constraint non-negative representation for pattern classification
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Jiangnan University School of Internet of Things Engineering No. 1800 Lihu Avenue Wuxi214122 China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence No. 1800 Lihu Avenue Wuxi214122 China
Representation based classification method (RBCM) remains one of the hottest topics in the community of pattern recognition, and the recently proposed non-negative representation based classification (NRC) achieved im... 详细信息
来源: 评论
Defect detection in textile fabrics with optimal Gabor filter and BRDPSO algorithm
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Journal of Physics: Conference Series 2020年 第1期1651卷
作者: Jiawei Zhang Yueyang Li Haichi Luo Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi 214122 China College of Internet of Things Engineering Jiangnan University Wuxi 214122 China
This paper presents an effective method that can detect fabric defects. The method utilizes the optimal Gabor filter and binary random drift particle swarm algorithm (BRDPSO) that can implement feature selection and p...
来源: 评论