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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11-20 订阅
排序:
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
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Mining High Quality patterns Using Multi-Objective Evolutionary Algorithm (Extended Abstract)  39
Mining High Quality Patterns Using Multi-Objective Evolution...
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39th IEEE International Conference on Data engineering, ICDE 2023
作者: Fang, Wei Zhang, Qiang Sun, Jun Wu, Xiaojun Jiangnan University International Joint Laboratory on Artificial Intelligence of Jiangsu Province Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence 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... 详细信息
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CL-Flow:strengthening the normalizing flows by contrastive learning for better anomaly detection
CL-Flow:strengthening the normalizing flows by contrastive l...
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2024 International Conference on Image, Signal Processing, and pattern recognition, ISPP 2024
作者: Wang, Shunfeng Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan 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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Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract)  40
Mutual Information-Guided GA for Bayesian Network Structure ...
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40th IEEE International Conference on Data engineering, ICDE 2024
作者: Yan, Kefei Fang, Wei Lu, Hengyang Zhang, Xin Sun, Jun Wu, Xiaojun Jiangnan University Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Department of Computer Science and Technology Wuxi214122 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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Advances and applications of machine learning and intelligent optimization algorithms in genome‑scale metabolic network models
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Systems Microbiology and Biomanufacturing 2023年 第2期3卷 193-206页
作者: Lidan Bai Qi You Chenyang Zhang Jun Sun Long Liu Hengyang Lu Qidong Chen Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence WuxiJiangsuChina Key Laboratory of Carbohydrate Chemistry and Biotechnology Ministry of EducationJiangnan UniversityWuxi 214122China Science Center for Future Foods Jiangnan UniversityWuxi 214122China
Due to the increasing demand for microbially manufactured products in various industries,it has become important to find optimal designs for microbial cell factories by changing the direction of metabolic flow and its... 详细信息
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STRNet:Triple-stream Spatiotemporal Relation Network for Action recognition
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International Journal of Automation and computing 2021年 第5期18卷 718-730页
作者: Zhi-Wei Xu Xiao-Jun Wu Josef Kittler School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122China Centre for Vision Speech and Signal ProcessingUniversity of SurreyGuildfordGU27XHUK
Learning comprehensive spatiotemporal features is crucial for human action recognition. Existing methods tend to model the spatiotemporal feature blocks in an integrate-separate-integrate form, such as appearance-and-... 详细信息
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NABP: Social Network Alignment Algorithm based on Pre-trained Language Models  3
NABP: Social Network Alignment Algorithm based on Pre-traine...
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3rd International Conference on Artificial intelligence, Automation, and High-Performance Computing, AIAHPC 2023
作者: Ding, Linjun Chen, Jing School of Artificial Intelligence and Computer Science Jiangnan University Jiangsu Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computing Intelligence Jiangnan University Jiangsu Wuxi214122 China
The existing social network matching algorithms have problems in processing text attribute information, as they cannot handle polysemy issues of word meanings well and cannot effectively extract deep semantic informat... 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
Lace Fabric Image Retrieval Using Siamese Neural Network  6
Lace Fabric Image Retrieval Using Siamese Neural Network
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6th International Conference on Signal and Image Processing, ICSIP 2021
作者: Xu, Dongdong Li, Yueyang Luo, Haichi Jiangnan University Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi China Jiangnan University College of Internet of Things Engineering Wuxi China
An efficient lace fabric image retrieval method based on DCNN learning features is proposed in this paper. Fine-tuning with Siamese Neural Network is used to learn effective feature of lace fabric image. During the pr... 详细信息
来源: 评论
Fabric defect detection method based on Cascade Deep Support Vector Data Description  2
Fabric defect detection method based on Cascade Deep Support...
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2020 2nd International Conference on Artificial intelligence Technologies and Application, ICAITA 2020
作者: Wang, Xupeng Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China College of Internet of Things Engineering Jiangnan University Wuxi China
The Fabric defect detection method based on Cascade Deep Support Vector Data Description (SVDD) is proposed in this paper. The method describes the data by Deep SVDD to realize the correct evaluation between the norma... 详细信息
来源: 评论