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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering and School of Business"
1008 条 记 录,以下是211-220 订阅
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Switchable Online knowledge Distillation
arXiv
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arXiv 2022年
作者: Qian, Biao Wang, Yang Yin, Hongzhi Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China The University of Queensland
Online knowledge Distillation (OKD) improves the involved models by reciprocally exploiting the difference between teacher and student. Several crucial bottlenecks over the gap between them — e.g., Why and when does ... 详细信息
来源: 评论
Multi-source Multi-label Feature Selection
Multi-source Multi-label Feature Selection
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International Joint Conference on Neural Networks (IJCNN)
作者: Xiulan Yuan Xuegang Hu Peipei Li Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology School of Computer Science and Information Engineering Hefei University of Technology Hefei City China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei City China
Feature selection for multi-source multi-label data has attracted much attention, because there are a lot of scenarios that produce multiple source data with multi-labels in the real-world applications, which aggravat...
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TREC: transient redundancy elimination-based convolution  22
TREC: transient redundancy elimination-based convolution
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Proceedings of the 36th International Conference on Neural Information Processing Systems
作者: Jiawei Guan Feng Zhang Jiesong Liu Hsin-Hsuan Sung Ruofan Wu Xiaoyong Du Xipeng Shen Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Computer Science Department North Carolina State University
The intensive computations in convolutional neural networks (CNNs) pose challenges for resource-constrained devices; eliminating redundant computations from convolution is essential. This paper gives a principled meth...
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Semantic SLAM Based on Compensated Segmentation and Geometric Constraints in Dynamic Environments
Semantic SLAM Based on Compensated Segmentation and Geometri...
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Artificial Intelligence Technology (ACAIT), Asian Conference on
作者: Baofu Fang Shuai Zhou Hao Wang School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Hefei China
Most of the existing slam algorithms are designed based on the assumption of a static environment, this strong assumption limits the practical application of most slam systems. The main reason is that moving objects w...
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RGB-D SLAM Method Based on Feature Association in Dynamic Environment
RGB-D SLAM Method Based on Feature Association in Dynamic En...
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Artificial Intelligence Technology (ACAIT), Asian Conference on
作者: Baofu Fang Hao Wang School of Computer Science and Information Engineering Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei China
Simultaneous localization and mapping (SLAM) is one of the current research hotspots. However, in visual SLAM for dynamic environments, inaccurate detection of object motion states and incomplete dynamic region cullin...
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Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery
arXiv
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arXiv 2024年
作者: Wang, Jiaxin Zhang, Lingling Liu, Jun Guo, Tianlin Wu, Wenjun The School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China The Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University Shaanxi Xi’an710049 China
We introduce a novel task, called Generalized Relation Discovery (GRD), for open-world relation extraction. GRD aims to identify unlabeled instances in existing pre-defined relations or discover novel relations by ass... 详细信息
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Reconfigurable Digital Twin from the Perspective of Smart Manufacturing Systems in Industry 4.0/5.0
Reconfigurable Digital Twin from the Perspective of Smart Ma...
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2024 International Conference on Intelligent Systems and Robotics, CISR 2024
作者: Mo, Guangyu Sun, Yuan Huang, Sihan Gao, Feng Huang, Jintang Lai, Lijuan Wang, Guoxin Yan, Yan School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China Beijing Aerospace Times Optical-Electronic Technology Co. Ltd. Beijing100094 China Key Laboratory of Industry Knowledge & Data Fusion Technology and Application Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China China Academy of Aerospace Electronic Technology Beijing100094 China School of Industrial Automation Beijing Institute of Technology Zhuhai519088 China
In industry 4.0/5.0, Smart manufacturing systems are typically complex systems that can be adjusted to deal with demand fluctuation through reconfigurable software/hardware. The emergence of digital twin as enabler te... 详细信息
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Temporal Based Instance-Level Fusion for Video Object Detection  17th
Temporal Based Instance-Level Fusion for Video Object Detect...
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17th Chinese Intelligent Systems Conference, CISC 2021
作者: Cai, Qiang Kang, Nan Li, Haisheng Cao, Jian Liu, Wenqing Wan, Ruyi School of Computer Science and Engineering Beijing Technology and Business University Beijing100048 China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing China National Engineering Laboratory For Agri-product Quality Traceability Beijing China Beijing zhiyunda Technology Co. Ltd. Beijing100085 China
Static image object detection is naively applied to videos in a frame-by-frame approach, and the prediction is often temporally inconsistent. Enhancement of every selected frame becomes a typical solution by aggregati... 详细信息
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Few-Shot Charge Prediction with Multi-grained Features and Mutual Information  20
Few-Shot Charge Prediction with Multi-grained Features and M...
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20th China National Conference on Computational Linguistics, CCL 2021
作者: Zhang, Han Dou, Zhicheng Zhu, Yutao Wen, Jirong School of Information Renmin University of China Beijing China Gaoling School of Artificial Intelligence Renmin University of China Beijing China Université de Montréal Montreal Canada Beijing Key Laboratory of Big Data Management and Analysis Methods Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE Beijing China
Charge prediction aims to predict the final charge for a case according to its fact description and plays an important role in legal assistance systems. With deep learning based methods, prediction on high-frequency c... 详细信息
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Personalized Recommendation Based on Entity Attributes and Graph Features  12
Personalized Recommendation Based on Entity Attributes and G...
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12th IEEE International Conference on Big knowledge, ICBK 2021
作者: Zhu, Yi Dong, Bingbing Sha, Zhiqing Yangzhou University School of Information Engineering Yangzhou China Key Laboratory of Knowledge Engineering With Big Data Hefei University of Technology Ministry of Education China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Institute of Big Knowledge Science Hefei University of Technology Hefei China
With the rapid increase in the amount of website data, it has been a more difficult task for users to get the infor-mation they are interested in. Personalized recommendation is an important bridge to find the informa... 详细信息
来源: 评论