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检索条件"机构=Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Machine Intelligence"
103 条 记 录,以下是61-70 订阅
排序:
A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
arXiv
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arXiv 2023年
作者: Liu, Jianjun Wu, Zebin Xiao, Liang Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China School of Computer Science Nanjing University of Science and Technology Nanjing China
Fusion-based hyperspectral image (HSI) superresolution aims to produce a high-spatial-resolution HSI by fusing a low-spatial-resolution HSI and a high-spatial-resolution multispectral image. Such a HSI super-resolutio... 详细信息
来源: 评论
Model inspired autoencoder for unsupervised hyperspectral image super-resolution
arXiv
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arXiv 2021年
作者: Liu, Jianjun Wu, Zebin Xiao, Liang Wu, Xiao-Jun The Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China The School of Computer Science Nanjing University of Science and Technology Nanjing China
This paper focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a high-spatial-resolution HSI (HR-HSI). Existin... 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
No-reference image quality assessment based on dualchannel convolutional neural network
No-reference image quality assessment based on dualchannel c...
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International Symposium in Sensing and Instrumentation in IoT Era (ISSI)
作者: Shuyu Huang Qingbing Sang Qin Wu Xiaojun Wu Chaofeng Li Jiangsu Provincial Engineerinig Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China Institutute of Logistics Science and Engineering Shanghai Maritime University Shanghai China
In recent years, convolutional neural networks have achieved more outstanding results and been widely used in the field of image quality assessment compared with the traditional handcraft method. This paper presents a... 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
Learning efficient structured dictionary for image classification
arXiv
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arXiv 2020年
作者: Li, Zi-Qi Sun, Jun Wu, Xiao-Jun Yin, He-Feng 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
Recent years have witnessed the success of dictionary learning (DL) based approaches in the domain of pattern classification. In this paper, we present an efficient structured dictionary learning (ESDL) method which t... 详细信息
来源: 评论
HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space Model
arXiv
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arXiv 2024年
作者: Shen, Dunbin Zhu, Xuanbing Tian, Jiacheng Liu, Jianjun Du, Zhenrong Wang, Hongyu Ma, Xiaorui The School of Information and Communication Engineering DUT Artificial Intelligence Institute The Dalian Key Laboratory of Artificial Intelligence Dalian University of Technology Dalian116024 China The Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Hyperspectral target detection (HTD) identifies objects of interest from complex backgrounds at the pixel level, playing a vital role in Earth observation. However, HTD faces challenges due to limited prior knowledge ... 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
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
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract)
GPU-Based Efficient Parallel Heuristic Algorithm for High-Ut...
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International Conference on Data engineering
作者: Wei Fang Haipeng Jiang Hengyang Lu Jun Sun Xiaojun Wu Jerry Chun-Wei Lin Department of Computer Science and Technology Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China Department of Distributed Systems and IT Devices Silesian University of Technology Poland
Heuristic algorithms have been developed to find approximate solutions for high-utility itemset mining (HUIM) problems that compensate for the performance bottlenecks of exact algorithms. However, heuristic algorithms... 详细信息
来源: 评论