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检索条件"机构=Big Data and Machine Learning Lab"
113 条 记 录,以下是21-30 订阅
learning Hierarchical Modular Networks for Video Captioning
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND machine INTELLIGENCE 2024年 第2期46卷 1049-1064页
作者: Li, Guorong Ye, Hanhua Qi, Yuankai Wang, Shuhui Qing, Laiyun Huang, Qingming Yang, Ming-Hsuan Univ Chinese Acad Sci Sch Comp Sci & Technol Key Lab Big Data Min & Knowledge Management Beijing 100049 Peoples R China Univ Adelaide Australian Inst Machine Learning Adelaide SA 5005 Australia Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100045 Peoples R China Univ Calif Merced Merced CA 95343 USA Yonsei Univ Seoul 03722 South Korea Google Mountain View CA 94043 USA
Video captioning aims to generate natural language descriptions for a given video clip. Existing methods mainly focus on end-to-end representation learning via word-by-word comparison between predicted captions and gr... 详细信息
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Supervised Feature Selection via Collaborative Neurodynamic Optimization
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2024年 第5期35卷 6878-6892页
作者: Wang, Yadi Wang, Jun Pal, Nikhil R. Henan Univ Sch Comp & Informat Engn Henan Key Lab Big Data Anal & Proc Kaifeng 475004 Peoples R China Henan Univ Sch Comp & Informat Engn Inst Data & Knowledge Engn Kaifeng 475004 Peoples R China City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China City Univ Hong Kong Sch Data Sci Kowloon Hong Kong Peoples R China Indian Stat Inst Ctr Artificial Intelligence & Machine Learning Kolkata 700108 India Indian Stat Inst Elect & Commun Sci Unit Kolkata 700108 India
As a crucial part of machine learning and pattern recognition, feature selection aims at selecting a subset of the most informative features from the set of all available features. In this article, supervised feature ... 详细信息
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Multi-UAV-Assisted Federated learning for Energy-Aware Distributed Edge Training
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2024年 第1期21卷 280-294页
作者: Tang, Jianhang Nie, Jiangtian Zhang, Yang Xiong, Zehui Jiang, Wenchao Guizani, Mohsen Guizhou Univ State Key Lab Publ Big Data Guiyang 550025 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 210000 Peoples R China Singapore Univ Technol & Design Pillar Informat Syst Technol & Design Singapore Singapore Mohamed Bin Zayed Univ Artificial Intelligence Machine Learning Dept Abu Dhabi U Arab Emirates
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has largely extended the border and capacity of artificial intelligence of things (AIoT) by providing a key element for enabling flexible distributed ... 详细信息
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Blockchain Assisted data Edge Verification With Consensus Algorithm for machine learning Assisted IoT
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IEEE ACCESS 2023年 11卷 55370-55379页
作者: Vaiyapuri, Thavavel Shankar, K. Rajendran, Surendran Kumar, Sachin Acharya, Srijana Kim, Hyunil Prince Sattam bin Abdulaziz Univ Coll Comp Engn & Sci Al Kharj 11942 Saudi Arabia Saveetha Inst Med & Tech Sci Saveetha Sch Engn Dept Comp Sci & Engn Chennai 602105 India South Ural State Univ Big Data & Machine Learning Lab Chelyabinsk 454080 Russia Kongju Natl Univ Dept Convergence Sci Gongju Si 32588 Chungcheongnam South Korea
Internet of Things (IoT) devices are becoming increasingly ubiquitous in daily life. They are utilized in various sectors like healthcare, manufacturing, and transportation. The main challenges related to IoT devices ... 详细信息
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MULTI-SCALE CLINICAL-GUIDED BINOCULAR FUSION FRAMEWORK FOR PREDICTING NEW-ONSET HYPERTENSION OVER A FOUR-YEAR PERIOD  21
MULTI-SCALE CLINICAL-GUIDED BINOCULAR FUSION FRAMEWORK FOR P...
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21st IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Li, Haoshen Chen, Zifan Zhao, Jie Chen, Heyun Dong, Hexin Yuan, Mingze Dong, Bin Zhang, Li Peking Univ Ctr Data Sci Beijing Peoples R China Peking Univ Natl Engn Lab Big Data Anal & Applicat Beijing Peoples R China Peking Univ Beijing Int Ctr Math Res Beijing Peoples R China Peking Univ Ctr Machine Learning Res Beijing Peoples R China Peking Univ Changsha Inst Comp & Digital Econ Beijing Peoples R China
Hypertension is a major global health concern, linked to various cardiovascular diseases and associated with distinct ocular manifestations. While recent advances in artificial intelligence have enabled accurate diagn... 详细信息
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BIM: Improving Graph Neural Networks with Balanced Influence Maximization  40
BIM: Improving Graph Neural Networks with Balanced Influence...
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40th IEEE International Conference on data Engineering, ICDE 2024
作者: Zhang, Wentao Gao, Xinyi Yang, Ling Cao, Meng Huang, Ping Shan, Jiulong Yin, Hongzhi Cui, Bin Peking University Center for Machine Learning Research China Institute of Advanced Algorithms Research Shanghai China National Engineering Labratory for Big Data Analytics and Applications The University of Queensland Australia Peking University Key Lab of High Confidence Software Technologies China Apple Inc. Institute of Computational Social Science Peking University Qingdao China
The imbalanced data classification problem has aroused lots of concerns from both academia and industry since data imbalance is a widespread phenomenon in many real-world scenarios. Although this problem has been well... 详细信息
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NC-ALG: Graph-Based Active learning under Noisy Crowd  40
NC-ALG: Graph-Based Active Learning under Noisy Crowd
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40th IEEE International Conference on data Engineering, ICDE 2024
作者: Zhang, Wentao Wang, Yexin You, Zhenbang Li, Yang Cao, Gang Yang, Zhi Cui, Bin Center for Machine Learning Research Peking University China Key Lab of High Confidence Software Technologies Peking University China Institute of Advanced Algorithms Research Shanghai China Institute of Computational Social Science Peking University Qingdao China National Engineering Labratory for Big Data Analytics and Applications China TEG Tencent Inc. Department of Data Platform China Beijing Academy of Artificial Intelligence China
Graph Neural Networks (GNNs) have achieved great success in various data mining tasks but they heavily rely on a large number of annotated nodes, requiring considerable human efforts. Despite the effectiveness of exis... 详细信息
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An efficient fine-grained searchable encryption for secure communication in IoT-based vehicular social networks
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TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 2024年 第2期35卷
作者: Mamta Sharma, Shivani Kumar, Sachin Punjab Engn Coll Dept Comp Sci & Engn Chandigarh India Thapar Inst Engn & Technol Dept Comp Sci & Engn Patiala Punjab India South Ural State Univ Big Data & Machine Learning Lab Chelyabinsk Russia
Vehicle data security is a fundamental requirement in any vehicular social network (VSN). Encryption is the key technology to address this requirement. However, with encryption, we lose all the accessibility to the da... 详细信息
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A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem
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INFORMATION 2022年 第8期13卷 386页
作者: Rout, Subhashree Mallick, Pradeep Kumar Reddy, Annapareddy V. N. Kumar, Sachin Deemed Univ Kalinga Inst Ind Technol KIIT Sch Comp Engn Bhubaneswar 751024 Odisha India Lakireddy Bali Reddy Coll Engn Dept Informat Technol Mylavaram 521230 Andhra Pradesh India South Ural State Univ Big Data & Machine Learning Lab Chelyabinsk 454080 Russia
Class imbalance is one of the significant challenges in classification problems. The uneven distribution of data samples in different classes may occur due to human error, improper/unguided collection of data samples,... 详细信息
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Weakly Supervised Video Individual Counting
Weakly Supervised Video Individual Counting
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Liu, Xinyan Li, Guorong Qi, Yuankai Yan, Ziheng Han, Zhenjun van den Hengel, Anton Yang, Ming-Hsuan Huang, Qingming Univ Chinese Acad Sci Beijing Peoples R China Macquarie Univ Sydney NSW Australia UCAS Key Lab Big Data Min & Knowledge Management Beijing Peoples R China Chinese Acad Sci Key Lab Intel Info Proc Inst Comput Tech Beijing Peoples R China Univ Adelaide Australian Inst Machine Learning Adelaide SA Australia Univ Calif Merced Merced CA USA
Video Individual Counting (VIC) aims to predict the number of unique individuals in a single video. Existing methods learn representations based on trajectory labels for individuals, which are annotation-expensive. To...
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