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检索条件"机构=Fujian Key Laboratory of Network Computing and Intelligent Information Processing"
380 条 记 录,以下是261-270 订阅
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Beyond Graph Convolutional network: An Interpretable Regularizer-centered Optimization Framework
arXiv
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arXiv 2023年
作者: Wang, Shiping Wu, Zhihao Chen, Yuhong Chen, Yong College of Computer and Data Science Fuzhou University China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University China School of Computer Science Beijing University of Posts and Telecommunications China
Graph convolutional networks (GCNs) have been attracting widespread attentions due to their encouraging performance and powerful generalizations. However, few work provide a general view to interpret various GCNs and ... 详细信息
来源: 评论
Fine-grained pseudo-code generation method via code feature extraction and transformer
arXiv
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arXiv 2021年
作者: Yang, Guang Zhou, Yanlin Chen, Xiang Yu, Chi School of Information Science and Technology Nantong University China Ministry of Industry and Information Technology China The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyi University China
Pseudo-code written by natural language is helpful for novice developers’ program comprehension. However, writing such pseudo-code is time-consuming and laborious. Motivated by the research advancements of sequence-t... 详细信息
来源: 评论
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
arXiv
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arXiv 2023年
作者: Jiang, Chengjia Wang, Tao Li, Sien Wang, Jinyang Wang, Shirui Antoniou, Antonios Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyi University Wuyishan China College of Computer and Data Science Fuzhou University Fuzhou China Department of Computer Science and Engineering European University Cyprus Nicosia Cyprus
We address the problem of learning new classes for semantic segmentation models from few examples, which is challenging because of the following two reasons. Firstly, it is difficult to learn from limited novel data t... 详细信息
来源: 评论
Few-Shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
Few-Shot Class-Incremental Semantic Segmentation via Pseudo-...
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information Science, Parallel and Distributed Systems (ISPDS), International Conference on
作者: Chengjia Jiang Tao Wang Sien Li Jinyang Wang Shirui Wang Antonios Antoniou Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China The Key Laboratory of Cognitive Computing and Intelligent Information Processing Fujian Education Institutions Wuyi University Wuyishan China College of Computer and Data Science Fuzhou University Fuzhou China Department of Computer Science and Engineering European University Cyprus Nicosia Cyprus
We address the problem of learning new classes for semantic segmentation models from few examples, which is challenging because of the following two reasons. Firstly, it is difficult to learn from limited novel data t...
来源: 评论
Extensive Techniques to Detect Defects in Tyres through Radiography
Extensive Techniques to Detect Defects in Tyres through Radi...
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IEEE International Conference on Multi Topic
作者: Muhammad Ahmad Shabir Muhammad Umair Hassan Xiangru Yu Jinping Li Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan China School of Information Science and Engineering Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China
The present paper highlights the experimentation procedure and decomposition of vehicle tyres through the extensive technique of radiography by the incorporation of total changes occurring in the image, transformation... 详细信息
来源: 评论
Tyre Defect Detection Based on GLCM and Gabor Filter
Tyre Defect Detection Based on GLCM and Gabor Filter
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IEEE International Conference on Multi Topic
作者: Muhammad Ahmad Shabir Muhammad Umair Hassan Xiangru Yu Jinping Li Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan China School of Information Science and Engineering Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China
Defect detection is a crucial issue at industrial level, and generally, the designers have to find out a way to select suitable features to detect the defects in textured material images. This work reports this issue ... 详细信息
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Financial Big Data Hot and Cold Separation Scheme Based on HBase and Redis
Financial Big Data Hot and Cold Separation Scheme Based on H...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Kunhui Li Kun Guo Hong Guo Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining Information Sharing Ministry of Education Fuzhou China College of Mathematics and Computer Science Fuzhou University Fuzhou China
In the era of big data, HBase has been widely used in scenarios of massive unstructured data. For the financial big data, due to the integrity and timing of it, unreasonable data storage and management usually lead to... 详细信息
来源: 评论
Mixed Word Embedding Method Based on Knowledge Graph Augment for Text Classification
Mixed Word Embedding Method Based on Knowledge Graph Augment...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Hongzhong Wang Kun Guo Zhanghui Liu Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining & Information Sharing Ministry of Education Fuzhou China College of Mathematics and Computer Science Fuzhou University Fuzhou China
This paper presents a self-training word embedding text classification model based on knowledge graph expansion for text classification. Current mixed word embedding methods are overly dependent on the Fasttext pre-tr... 详细信息
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Few-Shot Object Detection Based on Generalized Features
Few-Shot Object Detection Based on Generalized Features
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Artificial Intelligence and intelligent information processing (AIIIP), International Conference on
作者: Qiuqin Chen Xiao Ke Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou University Fuzhou China Key Laboratory of Spatial Data Mining & Information Sharing Ministry of Education Fuzhou Fuzhou China
Few-shot object detection aims to rapidly detect novel classes of objects using a minimal number of annotated instances. Compared to methods such as meta-learning, few-shot object detection based on transfer learning ...
来源: 评论
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation  40
Logical Relation Modeling and Mining in Hyperbolic Space for...
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40th IEEE International Conference on Data Engineering, ICDE 2024
作者: Tan, Yanchao Lv, Hang Zhou, Zihao Guo, Wenzhong Xiong, Bo Liu, Weiming Chen, Chaochao Wang, Shiping Yang, Carl College of Computer and Data Science Fuzhou University Fuzhou China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China Institute for Artificial Intelligence University of Stuttgart Stuttgart Germany College of Computer Science Zhejiang University Hangzhou China Emory University Department of Computer Science Atlanta United States
The sparse interactions between users and items have aggravated the difficulty of their representations in recommender systems. Existing methods leverage tags to alleviate the sparsity problem but ignore prevalent log... 详细信息
来源: 评论