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检索条件"机构=Jiangsu Provincial Engineering Laboratory Pattern Recognition and Computational Intelligence"
107 条 记 录,以下是71-80 订阅
排序:
L1-2D2PCANet: A Deep learning network for face recognition
arXiv
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arXiv 2018年
作者: Li, Yun-Kun Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China University of Surry GuildfordGU2 7XH United Kingdom
In this paper, we propose a novel deep learning network L1-2D2PCANet for face recognition, which is based on L1-norm-based two-directional two-dimensional principal component analysis (L1-2D2PCA). In our network, the ... 详细信息
来源: 评论
Semantic Feature Integration network for Fine-grained Visual Classification
arXiv
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arXiv 2023年
作者: Wang, Hui Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214000 China College of Internet of Things Engineering Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214000 China
Fine-Grained Visual Classification (FGVC) is known as a challenging task due to subtle differences among subordinate categories. Many current FGVC approaches focus on identifying and locating discriminative regions by... 详细信息
来源: 评论
Infrared and visible image fusion using a deep learning framework
arXiv
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arXiv 2018年
作者: Li, Hui Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China CVSSP University of Surrey GuildfordGU2 7XH United Kingdom
In recent years, deep learning has become a very active research tool which is used in many image processing fields. In this paper, we propose an effective image fusion method using a deep learning framework to genera... 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
Infrared and visible image fusion with ResNet and zero-phase component analysis
arXiv
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arXiv 2018年
作者: Li, Hui Wu, Xiao-Jun Durrani, Tariq S. Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Department of Electronic and Electrical Engineering University of Strathclyde GlasgowG1 1XW United Kingdom
Feature extraction and processing are key tasks in the Image fusion algo- rithm, while most of deep learning-based methods use deep features directly without feature processing. This leads to the fusion performance de... 详细信息
来源: 评论
MoNET: No-reference image quality assessment based on a multi-depth output network
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Journal of Electronic Imaging 2021年 第4期30卷 043007-043007页
作者: Sang, Qingbing Su, Chenfei Zhu, Lingying Liu, Lixiong Wu, Xiaojun Bovik, Alan C. Jiangnan University School of Artificial Intelligence and Computer Science Wuxi China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi China Beijing Institute of Technology School of Computer Science and Technology Beijing China University of Texas at Austin Laboratory for Image and Video Engineering AustinTX United States
When deep convolutional neural networks perform feature extraction, the features computed at each layer express different abstractions of visual information. The earlier layers extract highly compact low-level feature... 详细信息
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
来源: 评论
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
Enhanced Long-Term Prediction Based on 2d Tensorization for Building Energy Consumption
SSRN
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SSRN 2023年
作者: Kong, Jun Deng, Song Jiang, Min Zhuang, Danfeng Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China IBISC Univ. Evry Université Paris-Saclay 91020 France
Building energy consumption constitutes a significant contributor to greenhouse gas emissions. Accurate prediction of building energy consumption is crucial for building energy management, thus contributing to the red... 详细信息
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Face recognition via compact second order image gradient orientations
arXiv
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arXiv 2022年
作者: Yin, He-Feng Wu, Xiao-Jun Song, Xiao-Ning Jiangnan University School of Artificial Intelligence and Computer Science No. 1800 Lihu Avenue Wuxi214122 China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence No. 1800 Lihu Avenue Wuxi214122 China
Conventional subspace learning approaches based on image gradient orientations only employ the first-order gradient information. However, recent researches on human vision system (HVS) uncover that the neural image is... 详细信息
来源: 评论