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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31-40 订阅
排序:
A Dual-Branch Network for Infrared and Visible Image Fusion
A Dual-Branch Network for Infrared and Visible Image Fusion
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International Conference on pattern recognition
作者: Yu Fu Xiao-Jun Wu Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
In recent years, deep learning has been used extensively in the field of image fusion. In this article, we propose a new image fusion method by designing a new structure and a new loss function for a deep learning mod... 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
A dual-branch network for infrared and visible image fusion
arXiv
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arXiv 2021年
作者: Fu, Yu Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
In recent years, deep learning has been used extensively in the field of image fusion. In this article, we propose a new image fusion method by designing a new structure and a new loss function for a deep learning mod... 详细信息
来源: 评论
Infrared and visible image fusion using Latent Low-Rank Representation
arXiv
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arXiv 2018年
作者: Li, Hui Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of IoT engineering Jiangnan University Wuxi China
Infrared and visible image fusion is an important problem in the field of image fusion which has been applied widely in many fields. To better preserve the useful information from source images, in this paper, we prop... 详细信息
来源: 评论
DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning  16th
DreamNet: A Deep Riemannian Manifold Network for SPD Matrix...
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16th Asian Conference on Computer Vision, ACCV 2022
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 Wuxi214122 China University of Surrey GuildfordGU2 7XH United Kingdom
The methods of symmetric positive definite (SPD) matrix learning have attracted considerable attention in many pattern recognition tasks, as they are eligible to capture and learn appropriate statistical features whil... 详细信息
来源: 评论
Mining High Quality patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract)
Mining High Quality Patterns Using Multi-Objective Evolution...
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International Conference on Data engineering
作者: Wei Fang Qiang Zhang Jun Sun Xiaojun Wu International Joint Laboratory on Artificial Intelligence of Jiangsu Province Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
Most studies on pattern mining have considered only one pattern, such as frequent pattern or high-utility pattern, which is difficult to meet the increasingly diverse needs of users. In this paper, a novel multi-objec...
来源: 评论
Feature Space Renormalization for Semi-supervised Learning
arXiv
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arXiv 2023年
作者: Sun, Jun Mao, Zhongjie Li, Chao Zhou, Chao Wu, Xiao-Jun The School of Artificial Intelligence and Computer Science Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214122 China The Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214122 China
Semi-supervised learning (SSL) has been proven to be a powerful method for leveraging unlabelled data to alleviate models' dependence on large labelled datasets. The common framework among recent approaches is to ... 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
A Deep Decomposition Network for Image Processing: A Case Study of Image Fusion
SSRN
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SSRN 2022年
作者: Fu, Yu Xu, Tianyang Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China
Image decomposition into constituent components has many applications in the field of image processing. It aims to extract salient features from the source image for subsequent pattern recognition. In this paper, we p... 详细信息
来源: 评论