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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41-50 订阅
排序:
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
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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
LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion
arXiv
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arXiv 2023年
作者: Xiao, Yongbiao Li, Hui Cheng, Chunyang Song, Xiaoning Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China
Infrared and visible image fusion task aims to generate a fused image which contains salient features and rich texture details from multi-source images. However, under complex illumination conditions, few algorithms p... 详细信息
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Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract)
Mutual Information-Guided GA for Bayesian Network Structure ...
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International Conference on Data engineering
作者: Kefei Yan Wei Fang Hengyang Lu Xin Zhang Jun Sun Xiaojun Wu Department of Computer Science and Technology Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
Bayesian network structure learning (BNSL) from data is an NP-hard problem. Genetic algorithms are powerful for solving combinatorial optimization problems, but the lack of effective guidance results in slow convergen... 详细信息
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Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action recognition
Spatial Residual Layer and Dense Connection Block Enhanced S...
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International Conference on Computer Vision Workshops (ICCV Workshops)
作者: Cong Wu Xiao-Jun Wu Josef Kittler School of IOT Engineering Jiangnan University China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence CVSSP University of Surrey UK
Recent research has shown that modeling the dynamic joint features of the human body by a graph convolutional network (GCN) is a groundbreaking approach for skeleton-based action recognition, especially for the recogn... 详细信息
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CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection
arXiv
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arXiv 2023年
作者: Wang, Shunfeng Li, Yueyang Luo, Haichi Bi, Chenyang Faculty of Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiang-nan University 1800 Lihu Avenue Jiangsu Wuxi214122 China
In the anomaly detection field, the scarcity of anomalous samples has directed the current research emphasis towards unsupervised anomaly detection. While these unsupervised anomaly detection methods offer convenience... 详细信息
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Label distribution expression recognition algorithm based on asymptotic truth value
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Journal of Measurement Science and Instrumentation 2021年 第3期12卷 295-303页
作者: HUANG Hao GE Hongwei School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122 China
Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely *** reason maybe that the single label of the data canno... 详细信息
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Collaborative Representation for SPD Matrices with Application to Image-Set Classification
arXiv
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arXiv 2022年
作者: Chu, Li Wang, Rui Wu, Xiao-Jun The School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University China
Collaborative representation-based classification (CRC) has demonstrated remarkable progress in the past few years because of its closed-form analytical solutions. However, the existing CRC methods are incapable of pr... 详细信息
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Hierarchical Knowledge Transfer Network for Distantly Supervised Relation Extraction
Hierarchical Knowledge Transfer Network for Distantly Superv...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wei Song Weishuai Gu School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
Distantly supervised relation extraction (DSRE) aims to identify the relation between the two entities (e.g. name and location). Most existing methods extract semantic features from each level separately, without taki...
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General and robust voxel feature learning with Transformer for 3D object detection
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Journal of Measurement Science and Instrumentation 2022年 第1期13卷 51-60页
作者: LI Yang GE Hongwei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China
The self-attention networks and Transformer have dominated machine translation and natural language processing fields,and shown great potential in image vision tasks such as image classification and object *** by the ... 详细信息
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