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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61-70 订阅
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DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification
arXiv
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arXiv 2022年
作者: Wang, Rui Wu, Xiao-Jun Chen, Ziheng Xu, Tianyang 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 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom School of Artificial Intelligence and Computer Science Jiangnan University China
Image set-based visual classification methods have achieved remarkable performance, via characterising the image set in terms of a non-singular covariance matrix on a symmetric positive definite (SPD) manifold. To ada... 详细信息
来源: 评论
Estimating Difficulty Score of Visual Search in Images for Semi-supervised Object Detection  1
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16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019 held in conjunction with the 16th Pacific Rim International Conference on Artificial intelligence, PRICAI 2019
作者: Ma, Dongliang Zhang, Haipeng Wu, Hao Zhang, Tao Sun, Jun JiangSu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence JiangNan University Wuxi China
Humans can intuitively understand the content of images, and often reach a consensus that some images are more difficult to visual search tasks than others. However, this is quite challenging for computers as it is a ... 详细信息
来源: 评论
Spectral Efficiency for Multi-pair Massive MIMO Two-Way Relay Networks with Hybrid Processing  8th
Spectral Efficiency for Multi-pair Massive MIMO Two-Way Rela...
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8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
作者: Wang, Hongyan Li, Zhengquan Xue, Xiaomei Li, Baolong Liu, Yang Wu, Guilu Wu, Qiong Graduate School of Engineering Nagasaki University Nagasaki852-8521 Japan Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China National Mobile Communication Research Laboratory Southeast University Nanjing210096 China
In millimeter wave (mm-wave) communication systems, large antenna array can be employed for higher data rates. Hybrid digital and analogue beamforming design is adopted to reduce the digital signal processing (DSP) po... 详细信息
来源: 评论
Editorial
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International Journal of Bio-Inspired Computation 2020年 第2期16卷 67-67页
作者: Fang, Wei Wu, Xiaojun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Department of Computer Science and Technology Jiangnan University 214122 China
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
Action recognition using part and attention enhanced feature fusion
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Scientific Reports 2025年 第1期15卷 1-13页
作者: Danfeng Zhuang Lei Wang Mohamed Sanim Akremi Hedi Tabia Min Jiang School of Automation Wuxi University Wuxi 214105 China IBISC University of Evry Paris-Saclay University 91020 Evry France Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi 214122 China
In various studies on skeleton-based action recognition, graph convolution has been widely used to extract crucial skeleton information. However, existing methods often face challenges in effectively capturing the mot... 详细信息
来源: 评论
Low-Complexity Channel Estimation Method Based on ISSOR-PCG for Massive MIMO Systems  8th
Low-Complexity Channel Estimation Method Based on ISSOR-PCG ...
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8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
作者: Zhou, Cheng Li, Zhengquan Wu, Qiong Liu, Yang Li, Baolong Wu, Guilu Zhao, Xiaoqing Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China National Mobile Communication Research Laboratory Southeast University Nanjing210096 China Department of Electronic Engineering Tsinghua University Beijing100084 China The National Key Laboratory of millimeter wave Southeast University Nanjing210096 China
With the boost of the quantity of antennas at the base station (BS) in massive multiple-input multiple-output (MIMO) systems, the channel capacity and spectral efficiency are also increased. Conventional channel estim... 详细信息
来源: 评论
PPT Fusion: Pyramid Patch Transformer for a Case Study in Image Fusion
arXiv
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arXiv 2021年
作者: Fu, Yu Xu, Tianyang Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
The Transformer architecture has witnessed a rapid development in recent years, outperforming the CNN architectures in many computer vision tasks, as exemplified by the Vision Transformers (ViT) for image classificati... 详细信息
来源: 评论
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
arXiv
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arXiv 2021年
作者: Li, Hui Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China The Center for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration. The most difficult part of the design is to ... 详细信息
来源: 评论
The optimal graph regularized sparse coding with application to image representation  1
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2nd Chinese Conference on pattern recognition and Computer Vision, PRCV 2019
作者: Shu, Zhenqiu Wu, Xiaojun Liu, Zhen You, Congzhe Fan, Honghui School of Computer Engineering Jiangsu University of Technology Changzhou231001 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Sparse representation has shown its superiority and effectiveness in many real applications in recent years. However, it is still an open problem to effectively preserve the intrinsic geometric structure of data in ne... 详细信息
来源: 评论