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检索条件"机构=Nanjing University of Science and Technology of Electrical and Computer Engineering"
67677 条 记 录,以下是1-10 订阅
排序:
Enhanced Acceleration for Generalized Nonconvex Low-Rank Matrix Learning
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Chinese Journal of Electronics 2025年 第1期34卷 98-113页
作者: Hengmin Zhang Jian Yang Wenli Du Bob Zhang Zhiyuan Zha Bihan Wen School of Electrical and Electronic Engineering Nanyang Technological University School of Computer Science and Engineering Nanjing University of Science and Technology School of Information Science and Engineering East China University of Science and Technology Department of Electrical and Computer Engineering University of Macau
Matrix minimization techniques that employ the nuclear norm have gained recognition for their applicability in tasks like image inpainting, clustering, classification, and reconstruction. However, they come with inher... 详细信息
来源: 评论
SSA: semantic structure aware inference on CNN networks for weakly pixel-wise dense predictions without cost
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Frontiers of computer science 2025年 第2期19卷 1-10页
作者: Yanpeng SUN Zechao LI School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210014China
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ***,existing methods often incorporate trainable modules to expand the immature cl... 详细信息
来源: 评论
A recover-then-discriminate framework for robust anomaly detection
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science China(Information sciences) 2025年 第4期68卷 300-318页
作者: Peng XING Dong ZHANG Jinhui TANG Zechao LI School of Computer Science and Engineering Nanjing University of Science and Technology Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology
Anomaly detection(AD) has been extensively studied and applied across various scenarios in recent years. However, gaps remain between the current performance and the desired recognition accuracy required for practical... 详细信息
来源: 评论
YOLO-LFD: A Lightweight and Fast Model for Forest Fire Detection
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computers, Materials & Continua 2025年 第2期82卷 3399-3417页
作者: Honglin Wang Yangyang Zhang Cheng Zhu School of Artificial Intelligence Nanjing University of Information Science and TechnologyNanjing210044China School of Computer Science Nanjing University of Information Science and TechnologyNanjing210044China Electrical&Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA
Forest fires pose a serious threat to ecological balance, air quality, and the safety of both humans and wildlife. This paper presents an improved model based on You Only Look Once version 5 (YOLOv5), named YOLO Light... 详细信息
来源: 评论
Clustered Reinforcement Learning
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Frontiers of computer science 2025年 第4期19卷 43-57页
作者: Xiao MA Shen-Yi ZHAO Zhao-Heng YIN Wu-Jun LI National Key Laboratory for Novel Software Technology Department of Computer Science and TechnologyNanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720-1770USA
Exploration strategy design is a challenging problem in reinforcement learning(RL),especially when the environment contains a large state space or sparse *** exploration,the agent tries to discover unexplored(novel)ar... 详细信息
来源: 评论
Hierarchical Motion-Enhanced Matching Framework for Few-Shot Action Recognition
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IEEE Transactions on Multimedia 2025年 27卷 2450-2462页
作者: Gao, Hailiang Xie, Guo-Sen Yan, Rui Cui, Qiongjie Qu, Hongyu Shu, Xiangbo Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Nanjing University Department of Computer Science and Technology Nanjing210023 China
Few-Shot Action Recognition (FSAR) aims to recognize novel class action with limited annotated training data from the same class. Most FSAR methods subconsciously follow the few-shot image classification solutions by ... 详细信息
来源: 评论
Enhanced Multi-Scale Object Detection Algorithm for Foggy Traffic Scenarios
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computers, Materials & Continua 2025年 第2期82卷 2451-2474页
作者: Honglin Wang Zitong Shi Cheng Zhu School of Artificial Intelligence Nanjing University of Information Science and TechnologyNanjing210044China School of Computer Science Nanjing University of Information Science and TechnologyNanjing210044China School of Electrical&Computer Engineering University of Illinois at Urbana ChampaignUrbanaIL 61801USA
In foggy traffic scenarios, existing object detection algorithms face challenges such as low detection accuracy, poor robustness, occlusion, missed detections, and false detections. To address this issue, a multi-scal... 详细信息
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Enhancing the spatter-removal rate in laser powder-bed fusion using a gas-intake system with dual inlets
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Journal of Zhejiang university-science A(Applied Physics & engineering) 2025年 第3期26卷 252-265页
作者: Xin TIAN Junwei ZHONG Youwen YANG Chaolei ZHANG Long ZHAO School of Mechanical and Electrical Engineering Jiangxi University of Science and TechnologyGanzhou341000China College of Engineering and Applied Science Nanjing UniversityNanjing210089China
Mounds of spatter are generated in laser powder-bed fusion(L-PBF)additive manufacturing,which reduces build quality and laser *** to the lack of supplemental airflow above the chamber,the conventional build chamber wi... 详细信息
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PosParser: A Heuristic Online Log Parsing Method Based on Part-of-Speech Tagging
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IEEE Transactions on Big Data 2025年 第3期11卷 1334-1345页
作者: Jiang, Jinzhao Fu, Yuanyuan Xu, Jian Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China
Log parsing, the process of transforming raw logs into structured data, is a key step in the complex computer system's intelligent operation and maintenance and therefore has received extensive attention. Among al... 详细信息
来源: 评论
Domain Adaptation for Label Distribution Learning
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IEEE Transactions on Big Data 2025年 第3期11卷 1221-1234页
作者: Wu, Haitao Li, Weiwei Jia, Xiuyi Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing210016 China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China
Label distribution learning (LDL) suffers from the dilemma of insufficient target data in real-world applications, while domain adaptation (DA) seems to be able to provide a solution. However, most existing methods of... 详细信息
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